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. 2024 Feb 9;21(2):e1004342. doi: 10.1371/journal.pmed.1004342

Fetal loss and long-term maternal morbidity and mortality: A systematic review and meta-analysis

Florentia Vlachou 1,#, Despoina Iakovou 1,#, Jahnavi Daru 2,*,#, Rehan Khan 3, Litha Pepas 4, Siobhan Quenby 5, Stamatina Iliodromiti 2
Editor: Sarah J Stock6
PMCID: PMC10857720  PMID: 38335157

Abstract

Background

Evidence suggests common pathways between pregnancy losses and subsequent long-term maternal morbidity, rendering pregnancy complications an early chronic disease marker. There is a plethora of studies exploring associations between miscarriage and stillbirth with long-term adverse maternal health; however, these data are inconclusive.

Methods and findings

We systematically searched MEDLINE, EMBASE, AMED, BNI, CINAHL, and the Cochrane Library with relevant keywords and MeSH terms from inception to June 2023 (no language restrictions). We included studies exploring associations between stillbirth or miscarriage and incidence of cardiovascular, malignancy, mental health, other morbidities, and all-cause mortality in women without previous pregnancy loss. Studies reporting short-term morbidity (within a year of loss), case reports, letters, and animal studies were excluded. Study selection and data extraction were performed by 2 independent reviewers. Risk of bias was assessed using the Newcastle Ottawa Scale (NOS) and publication bias with funnel plots. Subgroup analysis explored the effect of recurrent losses on adverse outcomes. Statistical analysis was performed using an inverse variance random effects model and results are reported as risk ratios (RRs) with 95% confidence intervals (CIs) and prediction intervals (PIs) by combining the most adjusted RR, odds ratios (ORs) and hazard ratios (HRs) under the rare outcome assumption. We included 56 observational studies, including 45 in meta-analysis. There were 1,119,815 women who experienced pregnancy loss of whom 951,258 had a miscarriage and 168,557 stillbirth, compared with 11,965,574 women without previous loss. Women with a history of stillbirth had a greater risk of ischaemic heart disease (IHD) RR 1.56, 95% CI [1.30, 1.88]; p < 0.001, 95% PI [0.49 to 5.15]), cerebrovascular (RR 1.71, 95% CI [1.44, 2.03], p < 0.001, 95% PI [1.92, 2.42]), and any circulatory/cardiovascular disease (RR 1.86, 95% CI [1.01, 3.45], p = 0.05, 95% PI [0.74, 4.10]) compared with women without pregnancy loss. There was no evidence of increased risk of cardiovascular disease (IHD: RR 1.11, 95% CI [0.98, 1.27], 95% PI [0.46, 2.76] or cerebrovascular: RR 1.01, 95% CI [0.85, 1.21]) in women experiencing a miscarriage. Only women with a previous stillbirth were more likely to develop type 2 diabetes mellitus (T2DM) (RR: 1.16, 95% CI [1.07 to 2.26]; p < 0.001, 95% PI [1.05, 1.35]). Women with a stillbirth history had an increased risk of developing renal morbidities (RR 1.97, 95% CI [1.51, 2.57], p < 0.001, 95% [1.06, 4.72]) compared with controls. Women with a history of stillbirth had lower risk of breast cancer (RR: 0.80, 95% CI [0.67, 0.96], p-0.02, 95% PI [0.72, 0.93]). There was no evidence of altered risk of other malignancies in women experiencing pregnancy loss compared to controls. There was no evidence of long-term mental illness risk in women with previous pregnancy losses (stillbirth: RR 1.90, 95% CI [0.93, 3.88], 95% PI [0.34, 9.51], miscarriage: RR 1.78, 95% CI [0.88, 3.63], 95% PI [1.13, 4.16]). The main limitations include the potential for confounding due to use of aggregated data with variable degrees of adjustment.

Conclusions

Our results suggest that women with a history of stillbirth have a greater risk of future cardiovascular disease, T2DM, and renal morbidities. Women experiencing miscarriages, single or multiple, do not seem to have an altered risk.


In this systematic review and meta-analysis, Florentia Vlachou and team explore the associations between miscarriage and stillbirth with long-term adverse maternal health outcomes.

Author summary

Why was this study done?

  • Fetal loss is one of the most serious complications of pregnancy, with approximately 23,000,000 miscarriages and 2,000,000 stillbirths reported globally per annum.

  • Emerging data suggest a relationship between pregnancy loss and subsequent development of maternal long-term illness.

  • We conducted a systematic review and meta-analysis on the clinical evidence available to better understand the effect of pregnancy loss on the long-term maternal morbidity and mortality.

What did the researchers do and find?

  • Our systematic review included a total of 56 observational studies, with a total of 1,119,815 women who experienced pregnancy loss (those experiencing a miscarriage: 951,258; those experiencing a stillbirth: 168,557) and 11,965,574 controls.

  • Women with a history of stillbirth were found to have an increased risk of developing ischaemic heart, cerebrovascular, circulatory, and renal disease, and type 2 diabetes mellitus (T2DM) as well as a slight decrease in the risk of breast cancer.

  • There was no evidence of increased risk of developing these conditions in women with a history of miscarriage.

What do these findings mean?

  • Our results show a possible association of stillbirth with future cardiovascular disease, T2DM, and renal disease, suggesting that pregnancy loss could be an indicator for future risk.

  • Our work suggests future research focussing on long-term maternal health outcomes related to pregnancy loss is necessary.

  • Our work uses aggregated data with variable degrees of adjustment. As a consequence, the potential for confounding variables with well-known risk factors for metabolic diseases such as gestational diabetes affecting the results is considerable.

Introduction

Fetal loss is considered one of the most devastating adverse events in pregnancy and it is classified as either miscarriage or stillbirth. There is a variation in the definitions used for pregnancy loss globally. WHO define a loss occurring before 28 weeks of gestation as a miscarriage, while a stillbirth is a loss after 28 weeks in accordance with the ICD-10 (International Classification of Diseases) criteria (ICD-10) [1]. These definitions are not used universally, and are a reflection of many factors, including advances in neonatal and complex pregnancy care in addition to health system variation. For example, in the United States of America and Canada, miscarriage is defined as a pregnancy loss before 20 weeks gestation [2,3], while the United Kingdom (UK) a gestational age of 24 weeks is usually used; however, this may change in line with the recent British Association of Perinatal Medicine (BAPM) recommendations that “resuscitation can be considered between 22 to 24 weeks exceptions [4,5].” The global incidence of miscarriage is approximately 23,000,000 cases per annum, with 1 in 10 women estimated to experience fetal loss at least once in their lifetime. The risk of miscarriage per pregnancy can be as high as 15.3% [5]. Stillbirth is reported in approximately 2,000,000 women annually [1].

A large body of evidence suggests that women with a history of pregnancy losses are at risk of developing future cardiovascular, metabolic, malignant, and mental health morbidities, with an overall increase in the likelihood of mortality in the long-term [610]. Published reviews show that miscarriage (single or recurrent) can increase the likelihood of cardiovascular disease in the longer term [11,12].

Whether pregnancy is a “stress test” for long-term disease or common biological pathways related to circulation or inflammation underlie pregnancy losses and subsequent long-term disease is unclear. While existing data suggest an association between fetal loss and future subsequent morbidity or mortality, the literature is limited by small sample sizes and variation in study follow-up. To address this need, we conducted a systematic review and meta-analysis to investigate the risk of long-term morbidity and mortality in mothers who experienced fetal loss of any type, including recurrent losses.

Methods

We conducted a systematic review and meta-analysis of existing literature in accordance with the recommended methods described by Cochrane and reported using the Preferred Reporting Items for Systematic reviews and Meta-analysis (PRISMA) guidelines (see S1 PRISMA Checklist) [13]. The protocol for this review was registered prospectively (PROSPERO ID: CRD42021225370).

Search strategy

Electronic databases including MEDLINE, EMBASE, AMED, BNI, CINAHL, and the Cochrane Library were searched from inception to June 2023 to identify studies exploring the association of fetal loss with subsequent maternal morbidity and mortality. We used the terms “fetal loss,” “miscarriage,” “fetal death,” “stillbirth,” and “spontaneous abortion” including alternative spellings for exposure. Our outcome keyworks included “cardiovascular disease,” “myocardial infarction,” “hypertension,” “cerebrovascular disease,” “stroke,” “type 2 diabetes,” “cancer,” “malignancy,” “anxiety,” “depression,” “mortality,” and “morbidity” with relevant synonyms, alternative spellings, and MESH terms. There were no language or date restrictions applied to the searches and we only included human studies. (See Fig A in S1 Appendix for detailed strategy.) A search of the grey literature was performed by manually screening the reference list of papers included in the review and reviewing the reference list of related published systematic reviews. Additionally, we searched the System for Information on Grey Literature (OpenSIGLE), Healthcare Management Information Consortium (HMIC) database, National Technical Information Service (NTIS), and PsychEXTRA for relevant citations.

Study selection and data extraction

Study selection by title and abstract screening was performed by 2 reviewers (FV and DI) independently, any disagreements or discrepancies in any part of the process were resolved through discussion with a third reviewer (SI or JD). Relevant citations were then selected for full-text assessment. Studies were included if they examined long-term incidence of cardiovascular, metabolic, malignant, mental health, or any other morbidity in a population of women who had experienced fetal loss. Long-term was defined as disease developing at least a year after pregnancy loss. Additionally, we included studies investigating long-term all-cause mortality after pregnancy loss. Studies were excluded if patients had a history of previous diagnosis of disease outcomes described before experiencing pregnancy loss. Studies reporting maternal morbidity following a pregnancy termination were excluded from our review. Case reports, letters, in vitro, and animal studies were also excluded, while we included cohort, case-control and cross-sectional studies were included.

Data were extracted in parallel by 2 independent reviewers (FV and DI) on study design, participant demographic characteristics, type of fetal loss (miscarriage, recurrent miscarriage, or stillbirth), the comparator population, number of women developing the disease outcomes in both the exposed and controls, association measure with point estimates and 95% confidence interval (CI) and any adjustment variables used in analysis.

Risk of bias assessment

The Newcastle Ottawa Scale (NOS) was used to examine the methodological quality of studies included in this review in duplicate by 2 reviewers independently (FV and DI) [14]. Studies were evaluated against the NOS predefined criteria and stars were assigned for each domain. Papers with a total score of 7 to 9 were considered of good methodological quality (low risk of bias), while a total score of 4 to 6 and 0 to 3 were deemed to have a high and very high risk of bias, respectively. Publication bias was assessed using funnel plots with axis of standard error against risk ratio (RR) in outcomes with more than 10 studies.

Statistical analysis

The exposure of interest was either miscarriage or stillbirth. Given the variability in gestational age definitions for pregnancy loss across different studies, we used the definition provided in each study by the authors. Subgroup analysis was performed for women experiencing recurrent pregnancy loss. Meta-analysis was conducted where at least 3 studies reported the same exposure-outcome combination. Data synthesis and analysis were performed using inverse variance weighted random-effects meta-analysis to combine the most adjusted reported odds ratios (ORs), RRs, and hazard ratios (HRs) to produce pooled RRs and 95% CIs under the rare outcome assumption. Additionally, we repeated the analysis using the unadjusted raw data from each study as dichotomous outcomes with Mantel–Haenszel statistical method using a random effect model.

The outcomes included ischaemic heart disease (IHD), cerebrovascular disease, overall circulatory/cardiovascular disease, type 2 diabetes mellitus (T2DM), renal disease, breast cancer, uterine cancer (endometrial and cervical), ovarian cancer, malignancy, and mental health disease. IHD included morbidity or mortality from myocardial infarction, and coronary heart disease. Cerebrovascular disease included morbidity or mortality secondary to either ischaemic or haemorrhagic stroke. Renal disease involved the diagnosis or mortality from chronic kidney disease (CKD) and end-stage renal failure (ESRF). Malignancy outcomes included diagnosis or mortality of any type of cancer. Mental illness included the diagnosis of any type of depression, anxiety, or history of substance abuse.

The pooled results were presented as RR with 95% CIs and 95% prediction intervals (PIs). Heterogeneity was assessed using I2, Tau2, and Chi2 statistics. Analysis was performed using the Review Manager 5.4 and Python version 3.10 and the Python libraries numpy 1.23.5, statsmodel 0.14, and scipy 1.11.3.

Results

Our search yielded a total of 11,959 citations. Following screening, 145 articles were identified for full-text assessment, after which 59 studies were included (Fig 1).

Fig 1. PRISMA Flowchart of study inclusion and exclusion.

Fig 1

AMED; Allied and Complementary Medicine, BNI; British Nursing Index, CINAHL; Cumulative Index to Nursing and Allied Health Literature.

Study characteristics

There were 59 studies included in the review, 32 of these were cohort studies of which 16 were retrospective cohorts [10,1529] and 16 prospective cohorts [9,12,3043]. There were 25 case-control studies [8,4467] and 2 retrospective cross-sectional studies [68,69].

A total of 1,112,250 women had experienced at least 1 miscarriage and were compared to 6,719,014 controls. A total of 171,332 women had at least 1 stillbirth and were compared to 8,547,276 controls. Most studies were conducted in high-income regions/countries including North America (n = 12), Europe (n = 35), Australia (n = 2), and Israel (n = 6). The remaining 4 studies were conducted in Asia (Japan: n = 1, China: n = 1, India: n = 1, Iran: n = 1). The mean follow-up period for outcome assessment from index pregnancy for the miscarriage cohort was 19 while for stillbirth this was 17 years. Most of the studies did not provide a gestation cut off for the definition of stillbirth or miscarriage (37 out of 59). The remaining studies provided definitions varying between 20- and 28-weeks gestational age as the cut off in distinguishing between stillbirth and miscarriage, with only 3 specifically reporting first trimester losses. Study characteristics are presented in Table 1 for studies included in the analyses of miscarriage and Table 2 for stillbirth.

Table 1. Characteristics of all studies examining the effect of miscarriage in long-term maternal morbidity and mortality included in the systematic review.

Lead author and publication date (Country) Study design Duration of follow-up Exposure Gestation Type of control Outcome Number of exposed with outcome Number of controls with outcome Result (OR, HR, RR, IRR, BDI, LCU, O/E)
Adami and colleagues (1990), Norway [65] Case-control - At least 1 miscarriage Not defined No history of miscarriage Breast cancer 1 loss: 65
2 losses: 22
335 1 loss: OR 1 95% CI (0.7, 1.5)
2 losses: OR 1.3 95% CI (0.7, 2.6)
Andalib and colleagues (2006), Iran [38] Prospective cohort - ≥3 miscarriages Not defined No history of miscarriage 1: Stress
2: Depression
- - 1:
LCU: Exposed: 254 ± 83.6
LCU: Control: 224 ± 79.6
2:
BDI: Exposed: 27.6 ± BDI: 8.8, Controls: 19.4 ± 7.1
Auger and colleagues (2021), Canada [35] Prospective cohort 29 years At least 1 miscarriage <20 weeks Pregnancy ending in live birth Mortality 342 6,965 HR 1.48 95% CI (1.39, 1.62)
Bergant and colleagues (1997), Austria [37] Prospective cohort 2 years ≥2 miscarriages Not defined No history of miscarriage 1: Anxiety
2: Somatisation
3: Life satisfaction questionnaire
4: Depression
- - 4:
BDI: Cases: 3.5
BDI: Controls: 3
Bertuccio and colleagues (2007), Italy [54] Case-control - At least 1 miscarriage Not defined No history of miscarriage MI 1 loss: 110
>1 losses: 58
1,277 1 loss: OR 1.22 95% CI (0.90, 1.66)
>1 losses: OR 0.92 95% CI (0.62, 1.38)
Braem and colleagues (2012), the Netherlands [43] Prospective cohort 22 years At least 1 miscarriage Not defined No history of miscarriage Ovarian, fallopian tube and primary peritoneal cancer 1 loss: 136
2 losses: 22
4 losses: 10
665 1 loss: HR 0.86 95% CI (0.71, 1.05)
2 losses: HR 1.23 95% CI (0.93, 1.61)
4 losses: HR 1.99 95% CI (1.06, 3.73)
Brewster and colleagues (2005), UK [52] Case-control 10 years At least 1 miscarriage <12 weeks No history of miscarriage Breast cancer 2,828 9,781 OR 1.02 95% CI (0.88, 1.18)
Brinton and colleagues (1983), USA [61] Case-control - At least 1 miscarriage >16 weeks Singleton live birth with no history of pregnancy loss Breast cancer 1 loss: 226
2 losses: 64
3 losses: 34
979 1 loss: RR 1.1 95% CI (0.9, 1.4)
2 losses: RR 1.24 95% CI (0.8, 1.9)
Calle and colleagues (1995), USA [46] Case-control 7 years At least 1 miscarriage <20 weeks No history of miscarriage Breast cancer deaths 1 loss: 208
2 losses: 54
3 losses: 34
951 1 loss: RR 0.89 95% CI (0.78, 1.02)
2 losses: RR 0.74 95% CI (0.56, 0.98)
3 losses: RR 0.85 95% CI (0.6, 1.2)
Charach and colleagues (2018), Israel [19] Retrospective cohort 26 years At least 1 miscarriage Not defined No history of recurrent miscarriage 1: Ovarian cancer
2: Uterine cancer
3: Breast cancer
1: 5
2: 5
3: 56
1: 50
2: 57
3: 473
1: OR 1.4* p-value 0.046
2: OR 1.2* p-value 0.651
3: OR 1.7* p-value 0.001
Coleman and colleagues (2013), USA [27] Retrospective cohort 25 years At least 1 miscarriage Not defined Singleton live birth with no history of pregnancy loss Mortality 9,320 246,252 OR 2.815 95% CI (2.207, 3.592)
Cooper and colleagues (1999), USA [48] Case-control - At least 1 miscarriage Not defined No history of miscarriage IHD 1 loss: 9
≥2 losses: 8
-
Dick and colleagues (2009), Israel [56] Case-control 3 years At least 1 miscarriage Not defined No history of miscarriage Ovarian cancer 1 loss: 389
2 losses: 96
3 losses: 61
1,401 1 loss: OR 0.97 95% CI (0.8, 1.17)
2 loss: OR 0.93 95% CI (0.75, 1.15)
3 losses: OR 0.94 95% CI (0.61, 1.46)
Egerup and colleagues (2020), Denmark [60] Case-control 40 years History of stillbirth Loss >22 weeks No history of loss T2DM Total: 4,314
1 loss: 3,227
2 losses: 729
≥3 losses: 358
12613 1 loss: OR 1.18 95% CI (1.13, 1.23)
2 losses: OD 1.38 95% CI (1.27, 1.49)
≥3 or more: 1.71 95% CI (1.53, 1.92)
Erlandsson and colleagues (2003), Sweden [50] Case-control 18 years At least 1 miscarriage Not defined No history of miscarriage Breast cancer 1 loss: 186
2 losses: 42
1,531 1 loss: OR 0.96 95% CI (0.77, 1.19)
2 losses: OR 0.66 95% CI (0.44, 0.99)
Gallagher and colleagues (2011), USA [41] Prospective cohort 11 years At least 1 miscarriage Not defined No history of miscarriage 1: Death from IHD
2: Death from IS
3: Death from HS
1:
1 loss: 51
2 losses: 24
2:
1 loss:72
2 losses: 25
3:
1 loss: 224
2 losses: 69
1: 350
2: 482
3: 1,303
1:
1 loss: HR 0.88 95% CI (0.66, 1.19)
2 losses: HR 1.27 95% CI (0.84, 1.92)
2:
1 loss: HR 0.87 95% CI (0.68, 1.12)
2 losses: HR 0.9 95% CI (0.6, 1.35)
3:
1 loss: HR 1.06 95% CI (0.92, 1.22)
2 losses: HR 1.01 95% CI (0.8, 1.29)
Goldacre and colleagues (2001), UK [49] Case-control 30 years At least 1 miscarriage Not defined No history of miscarriage Breast cancer 41 - O/E: 0.92 95% CI (0.66, 1.25)
Horn and colleagues (a) (2019), Norway [34] Prospective cohort 20 years At least 1 miscarriage <12 weeks Singleton live birth with no history of pregnancy loss 1: HTN
2: Hypercholesterolaemia
3: T2DM
1:
1 loss: 2,614
2 losses: 537
3 losses: 202
2:
1 loss: 3,904
≥2 losses: 819
3 losses: 282
3:
1 loss: 547
2 losses: 106
3 losses: 51
1:
13,902
2:
20,253
3:
2,672
1:
1 loss: HR 1.04 95% CI (1.00, 1.09)
2 losses: HR 1.04 95% CI (0.95, 1.14)
3 losses: HR 1.19 95% CI (1.03, 1.38)
2:
1 loss: HR 1.08 95% CI (1.04, 1.12)
≥2 losses: HR 1.15 95% CI (1.06, 1.24)
3 losses: HR 1.15 95% CI (1.01, 1.3)
3:
1 loss: HR 1.11 95% CI (1, 1.22)
2 losses: HR 1.08 95% CI (0.88, 1.32)
3 losses: HR 1.43 95% CI (1.06, 1.92)
Horn and colleagues (b) (2019), Norway [34] Prospective cohort 20 years At least 1 miscarriage >20 weeks Singleton live birth with no history of pregnancy loss 1: HTN
2: HC
3: T2DM
1:
1 loss: 1,139
2 losses: 136
2:
1 loss: 1,594
2 losses: 206
3:
1 loss: 245
2 losses: 30
1:
15,980
2:
15,980
3:
3,101
1:
1 loss: HR 1.11 95% CI (1.05, 1.19)
2 losses: HR 1.13 95% CI (0.95, 1.35)
2:
1 loss: HR 1.05 95% CI (1.04, 1.12)
2 losses: HR 1.16 95% CI (1.01, 1.33)
3:
1 loss: HR 1.18 95% CI (1.03, 1.35)
2 losses: HR 1.04 95% CI (0.72, 1.51)
Janssen and colleagues (2006), the Netherlands [39] Prospective cohort 18 months At least 1 miscarriage <20 weeks Pregnant women who were pregnant on recruitment and gave birth to a livebirth Anxiety, depression, somatisation, OCD - 213 -
Kessous and colleagues (2014), Israel [29] Retrospective cohort 24 years At least 1 miscarriage Not defined No history of recurrent miscarriage 1: Noninvasive CVD diagnostic procedures
2: Cardiac invasive diagnostic procedures
1: 120
2: 54
1: 833
2: 370
1: OR 1.9 95% CI (1.6, 2.3)
2: OR 2.1 95% CI (1.6, 2.8)
Kharazmi and colleagues (2011), Germany [42] Prospective cohort 10.8 years At least 1 miscarriage Not defined No history of miscarriage 1: MI
2: Stroke
1:
1 loss: 22
3 losses: 4
2:
1 loss: 20
3 losses: 1
1: 53
2: 86
1:
1 loss: HR 1.14 95% CI (0.65, 1.99)
3 losses: HR 5.06 95% CI (1.26, 20.29)
2:
1 loss: HR 0.72 95% CI (0.41, 1.25)
3 losses: HR 1.31 95% CI (0.161, 0.65)
Kharazmi and colleagues (2012), Germany [30] Prospective cohort 15.2 years At least 1 miscarriage Not defined No history of miscarriage T2DM - - 1 loss: HR 1.34 95% CI (1.03, 1.74)
2 losses: HR 1.91 95% CI (0.94, 3.87)
Kharazmi and colleagues (2010), Germany [26] Retrospective cohort - At least 1 miscarriage Not defined No history of miscarriage 1: HTN
2: Angina pectoris
1: 143
2: 92
1: 579
2: 371
1: OR 1.3 95% CI (0.6, 2.4)
2: OR 1.2 95% CI (0.8, 1.7)
Kolte and colleagues (2015), Denmark [69] Retrospective cross-sectional 3 years At least 1 miscarriage <12 weeks Females actively trying to conceive 1: Stress
2: Depression
1: 124
2: 26
1: 420
2: 40
1: OR 1.59 95% CI (1.03, 2.44)
2: OR 5.53 95% CI (2.09, 14.61)
La Vecchia and colleagues (a) (1987), Italy [62] Case-control - At least 1 miscarriage Not defined No history of miscarriage Breast cancer 1 loss: 143
2 losses: 91
874 1 loss: RR 0.9 95% CI (0.69, 1.15)
2 losses: RR 0.98 95% CI (0.71, 1.31)
La Vecchia and colleagues (b), (1987), Italy [63] Case-control - At least 1 miscarriage Not defined No history of miscarriage MI 1 loss: 37
2 losses: 18
147 1 loss: RR 1.03 95% CI (0.69, 1.74)
2 losses: RR 1.08 95% CI (0.56, 2.06)
Laing and colleagues (1993), USA [67] Case-control 10 years At least 1 miscarriage Not defined No history of miscarriage Breast cancer 90 299 RR 1.3 95% CI (0.5, 3.3)
Lambalk and colleagues (2016), the Netherlands [33] Prospective cohort 15.2 years At least 1 miscarriage Not defined No history of miscarriage Breast cancer 1 loss: 55
2 losses: 24
219 1 loss: HR 0.92 95% CI (0.68, 1.27)
2 losses: HR 1.03 95% CI (0.68, 0.164)
Lipworth and colleagues (1995), USA [47] Case-control - At least 1 miscarriage Not defined No history of miscarriage Breast cancer 232 433 OR 0.97 95% CI (0.79, 1.19)
Maino and colleagues (2016), the Netherlands [8] Case-control 3 years At least 1 miscarriage <22 weeks No history of miscarriage 1: MI
2: IS
3: Any arterial thrombosis
1:
1 loss: 45
2 losses: 8
3 losses: 10
2:
1 loss: 44
2 losses: 10
3 losses: 5
3:
1 loss: 89
2 losses: 18
3 losses: 15
1: 155
2: 106
3: 261
1:
1 loss: OR 0.74 95% CI (0.45, 1.21)
2 losses: OR 0.55 95% CI (0.21, 1.46)
3 losses: OR 2.04 95% CI (0.71, 5.86)
2:
1 loss: OR 1.18 95% CI (0.71, 1.98)
2 losses: OR 0.64 95% CI (0.54, 7.07)
3 losses: OR 3.51 95% CI (1.08, 11.35)
3:
1 loss: OR 0.97 95% CI (1.42, 0.66)
2 losses: OR 0.56 95% CI (1.23, 0.27)
3 losses: OR 2.37 95% CI (5.7, 0.99)
Mikkelsen and colleagues (2019), Denmark [59] Case-control 20 years At least 1 miscarriage Not defined No history of miscarriage 1: Breast cancer
2: Ovarian cancer
3: Endometrial cancer
4: Cervical cancer
1:
1 loss: 1,926
2 losses: 424
3 losses: 157
2:
1 loss: 113
2 losses: 32
3 losses: 10
3:
1 loss: 125
2 losses: 22
3 losses: 7
4:
1 loss: 195
2 losses: 35
3 losses: 15
1: 8,411
2: 581
3: 580
4: 878
1:
1 loss: OR 0.98 95% CI (0.93, 1.04)
2 losses: OR 0.99 95% CI (0.89, 1.1)
3 losses: OR 0.97 95% CI (0.81, 1.16)
2:
1 loss: OR 0.86 95% CI (0.69, 1.07)
2 losses: OR 1.18 95% CI (0.8, 1.72)
3 losses: OR 1.11 95% CI (0.56, 2.17)
3:
1 loss: OR 0.93 95% CI (0.8, 1.11)
2 losses: OR 0.69 95% CI (0.44, 1.09)
3 losses: OR 0.75 95% CI (0.34, 1.66)
4:
1 loss: OR 0.95 95% CI (0.8, 1.11)
2 losses: OR 0.78 95% CI (0.55, 1.12)
3 losses: OR 0.9 95% CI (1.54, 0.53)
5: Bladder cancer
6: Renal cancer
7: Lung cancer
8: GI cancer
9: Brain cancer
10: Melanoma
5:
1 loss: 24
2 losses: 7
6:
1 loss: 76
2 losses: 19
7:
1 loss: 341
2 losses: 64
8:
1 loss: 482
2 losses: 105
3 losses: 38
9:
1 loss: 58
2 losses: 12
3 losses: 9
10:
1 loss: 538
2 losses: 87
3 losses: 30
5: 124
6: 8
7: 28
8: 2,149
9: 280
10: 2,360
5:
1 loss: OR 0.83 95% CI (0.52, 1.32)
2 losses: OR 1.24 95% CI (0.54, 2.81)
6:
1 loss: OR 1.31 95% CI (0.99, 1.73)
2 losses: OR 95% CI 1.39 (0.83, 2.34)
7:
1 loss: OR 1.08 95% CI (0.95, 1.23)
2 losses: OR 0.91 95% CI (0.69, 1.19)
8:
1 loss: OR 0.95 95% CI (0.85, 1.05)
2 losses: OR 0.98 95% CI (1.2, 0.79)
3 losses: OR 1.06 95% CI (0.76, 1.53)
9:
1 loss: OR 0.93 95% CI (0.69, 1.26)
2 losses: OR 0.81 95% CI (0.44, 1.5)
3 losses: OR 2.09 95% CI (0.93, 4.12)
10:
1 loss: OR 0.96 95% CI (0.87, 1.06)
2 losses: OR 0.72 95% CI (0.57, 0.9)
3 losses: OR 0.69 95% CI (0.47, 1.01)
11: Haematological cancer
12: All cancers
11:
1 loss: 213
2 losses: 49
3 losses: 22
12:
Total: 5,828
1 loss: 4,506
2 losses: 963
3 losses: 359
11: 898
12: 19,591
11:
1 loss: OR 1.01 95% CI (0.86, 1.19)
2 losses: OR 1.06 95% CI (0.78, 1.44)
3 losses: OR 1.43 95% CI (0.9, 2.25)
12:
1 loss: OR 0.98 95% CI (0.95, 1.02)
2 losses: OR 0.98 95% CI (0.92, 1.05)
3 losses: OR 1.02 95% CI (0.91, 1.14)
Okoth and colleagues (2022), UK [21] Retrospective cohort 20.5 years At least 1 miscarriage Not defined No history of miscarriage 1: HTN
2: T2DM
1: 1,995
2: 792
1: 6,637
2: 2,525
1: IRR 1.07 95% CI (1.02, 1.12)
2: IRR 1.25 95% CI (1.15, 1.36)
Parazzini and colleagues (1992), Italy [66] Case-control - At least 1 miscarriage Not defined No history of miscarriage Breast cancer 631 2,406 RR 0.9 95% CI (0.9, 1.1)
Pell and colleagues (2003), UK [24] Retrospective cohort 19 years At least 1 miscarriage Not defined Singleton live birth with no history of loss Cerebrovascular events: IS, intracranial haemorrhage, TIA - - HR 1.49 95% CI (1.09, 2.03)
Peters and colleagues (2017), UK [18] Retrospective cohort 7 years At least 1 miscarriage Not defined Singleton live birth with no history of loss 1: CHD
2: Stroke
3: All circulatory diseases
1:
1 loss: 1,220
2 losses: 304
3 losses: 121
2:
1 loss: 1,695
2 losses: 374
3 losses: 148
3:
1 loss: 3,390
2 losses: 779
3 losses: 281
1:
12,629
2:
17,497
3:
39,089
1:
1 loss: HR 1.04 95% CI (0.98, 1.1)
2 losses: HR 1.19 95% CI (1.06, 1.33)
3 losses: HR 1.26 95% CI (1.05, 1.51)
2:
1 loss: HR 1.04 95% CI (0.99, 1.09)
2 losses: HR 1.09 95% CI (0.99, 1.21)
3 losses: HR 1.15 95% CI (0.98, 1.36)
3:
1 loss: HR 1.01 95% CI (0.98, 1.05)
2 losses: HR 1.12 95% CI (1.05, 1.12)
3 losses: HR 1.12 95% CI (0.99, 1.26)
Peters and colleagues (2020), UK [10] Retrospective cohort 9.2 years At least 1 miscarriage Not defined Singleton live birth with no history of loss T2DM 1 loss: 528
2 losses: 131
7,050 1 loss: HR 1.02 95% CI (0.94, 1.11)
2 losses: HR 1.06 95% CI (0.9, 1.26)
Ranthe and colleagues (2013), Denmark [28] Retrospective cohort 40 years At least 1 miscarriage Not defined Singleton live birth with no history of loss 1: MI
2: Cerebral infarction
3: Renovascular HTN
1:
1 loss: 541
2 losses: 90
3 losses: 14
4 losses: 15
2:
1 loss: 650
2 losses: 131
3 losses: 33
4 losses: 19
3:
1 loss: 204
2 losses: 36
3 losses: 12
4 losses: 11
1:
2,228
2:
3,220
3:
1,006
1:
1 loss: Ratio of proportion 1.11 95% CI (1, 1.23)
2 losses: Ratio of proportion 1.18 95% CI (0.95, 1.45)
3 losses: Ratio of proportion 0.85 95% CI (0.5, 1.44)
4 losses: Ratio of proportion 2.08 95% CI (1.25, 3.45)
2:
1 loss: Ratio of proportion 1.13 95% CI (1.03, 1.23)
2 losses: Ratio of proportion 1.22 95% CI (1.02, 1.45)
3 losses: Ratio of proportion 1.43 95% CI (1.01, 2.01)
4 losses: Ratio of proportion 1.89 95% CI (1.2, 2.96)
3:
1 loss: Ratio of proportion 1.15 95% CI (0.99, 1.34)
2 losses: Ratio of proportion 1.12 95% CI (0.8, 1.56)
3 losses: Ratio of proportion 1.78 95% CI (1, 3.14)
4 losses: Ratio of proportion 3.78 95% CI (2.08, 6.85)
Reeves and colleagues (2006), UK [53] Case-control 6.6 years At least 1 miscarriage Not defined No history of miscarriage Breast cancer 1 loss: 761
2 losses: 296
3,719 1 loss: RR 1.02 95% CI (0.94, 1.1)
2 losses: RR 1.2 95% CI (1.07, 1.35)
Rosenberg and colleagues (1988), USA [64] Case-control 8 years At least 1 miscarriage <24 weeks No history of miscarriage Breast cancer 1 loss: 398
2 losses: 152
3 losses: 67
1,504 1 loss: RR 1 95% CI (0.8, 1.2)
2 losses: RR 0.9 95% CI (0.7, 1.1)
3 losses: RR 0.6 95% CI (0.4, 0.8)
Schwarzman and colleagues (2020), Israel [20] Retrospective cohort 26 years At least 2 miscarriages <20 weeks No history of recurrent miscarriage 1: Arterial thromboembolic events
2: Venous thromboembolic events
1:
Total: 19
2:
Total: 41
1: 177
2: 328
-
Smith and colleagues (2003) UK [24] Retrospective cohort 19 years At least 1 miscarriage <24 weeks No history of miscarriage Death from IHD 1 loss: 48
3 losses: 4
177 1 loss: HR 1.48 95% CI (1.09, 2.02)
3 losses: HR 2.35 95% CI (0.87, 6.36)
Toffol and colleagues (a) (2013), Finland [68] Retrospective cross-sectional - At least 1 miscarriage Not defined No history of miscarriage 1: Alcohol abuse
2: Alcohol dependence
3: Dysthymic disorder
4: Major depressive episode
5: Anxiety disorder
1: 326
2: 324
3: 325
4: 326
5: 319
1: 1,071
2: 1,006
3: 1,019
4: 1,018
5: 995
1:
Age 30–40: OR 1.524 95% CI (0.265, 8.776)
Age 41–50: OR 1.405 95% CI (0.136, 14.542)
2:
Age 30–40: OR 0.367 95% CI (0.105, 1.282)
Age 41–50: OR 1.967 95% CI (0.781, 4.954)
3:
Age 41–50: OR 1.405 95% CI (0.047, 1.268)
4:
Age 30–40: OR 1.063 95% CI (0.510, 2.214)
Age 41–50: OR 1.830 95% CI (1.005, 3.334)
5:
Age 30–40: OR 1.006 95% CI (0.398, 2.543)
Age 41–50: OR 0.772 95% CI (0.357, 1.670)
Toffol and colleagues (b) (2013), Finland [68] Retrospective cross-sectional 5 years At least 1 miscarriage Not defined No history of miscarriage 1: Depressive symptoms
2: Recent depression diagnosis
3: Recent psychiatric diagnosis
4: Anhedonia during the last year
1: 461
2: 459
3: 459
4: 4,602
1: 1,684
2: 1,684
3: 1,684
4: 1,685
1: Age 25–40: OR 0.710 95% CI (0.455, 1.109)
Age 41–50: OR 1.117 95% CI (0.722, 1.729)
2: Age 25–40: OR 95% CI 1.091 (0.521, 2.287)
Age 41–50: OR 0.824 95% CI (0.487, 2.050)
3: Age 25–40: OR 3.664 95% CI (0.865, 15.516)
Age 41–50: OR 0.824 95% CI (0.173, 3.932)
4: Age 25–40: OR 0.614 95% CI (0.377, 0.998)
Age 41–50: OR 1.328 95% CI (0.846, 2.085)
Wagner and colleagues (2015), the Netherlands [17] Retrospective cohort 62 years At least 2 miscarriages <24 weeks Singleton live birth with no history of pregnancy loss 1: IHD
2: Cerebrovascular disease
3: Composite cardiovascular outcomes
1:
1 loss: 272
2 losses: 30
3 losses: 7
2:
1 loss: 139
2 losses: 14
3 losses: 3
3:
1 loss: 1,207
2 losses: 126
3 losses: 23
1: 1,440
2:
826
3:
6,841
1: 1 loss: HR 0.9 95% CI (0.69, 1.15)
2 losses: HR 0.98 95% CI (0.71, 1.31)
2: 1 loss: HR 1.12 95% CI (0.77, 1.64)
2 losses: HR 1.27 95% CI (0.74, 3.41)
3: 1 loss: HR 1.19 95% CI (1.08, 1.31)
2 losses: HR 1.29 95% CI (1, 1.66)
3 losses: HR 1.32 95% CI (0.73, 2.4)
Winkelstein and colleagues (1958), USA [44] Case-control - At least 1 miscarriage 12 weeks No history of miscarriage MI 25 63 RR 1.70 95% CI (1.17, 2.48)
Winkelstein and Rekate (1964), USA [55] Case-control - At least 1 miscarriage 12 weeks No history of miscarriage Atherosclerotic heart disease 55 183 RR 0.76 95% CI (0.65, 0.89)
Xu and colleagues (2004), China [51] Case-control 3 years At least 1 miscarriage Not defined No history of miscarriage Endometrial cancer 66 304 OR 1.03 95% CI (0.67, 1.58)
Yamada and colleagues (2017), Japan [12] Prospective cohort 18 years At least 1 miscarriage Not defined No history of miscarriage 1: Death from stroke (total)
2: Death from IS
3: Death from HS
4: Death from intracranial haemorrhage
5: Subarachnoid haemorrhage
6: Death from CHD:
7: Total cardiovascular disease
1:
1 loss: 205
2 losses: 134
2:
1 loss: 65
2 losses: 41
3:
1 loss: 90
2 losses: 61
4:
1 loss: 45
2 losses: 26
5:
1 loss: 45
2 losses: 35
6:
1 loss: 94
2 losses: 56
7:
Total: 767
1: 901
2: 302
3: 325
4: 181
5: 144
6: 388
7: 2,048
1:
1 loss: HR 0.91 95% CI (0.78, 1.06)
2 losses: HR 0.84 95% CI (0.7, 1.02)
2:
1 loss: HR 0.96 95% CI (0.73, 1.26)
2 losses: HR 0.95 95% CI (0.68, 1.33)
3:
1 loss: HR 0.95 95% CI (0.75, 1.21)
2 losses: HR 0.83 95% CI (0.63, 1.1)
4:
1 loss: HR 0.88 95% CI (0.63, 1.23)
2 losses: HR 0.68 95% CI (0.45, 1.03)
5:
1 loss: HR 1.04 95% CI (0.74, 1.45)
2 losses: HR 1.01 95% CI (0.69, 1.47)
6:
1 loss: HR 1 95% CI (0.79, 1.25)
2 losses: HR 0.84 95% CI (0.63, 1.12)
7: HR 0.93 95% CI (0.84, 1.03)

BDI, Beck Depression Inventory; CHD, coronary heart disease; CI, confidence interval; CVD, cardiovascular disease; GI, gastrointestinal; HC, hypercholesterolaemia; HR, hazard ratio; HS, haemorrhagic stroke; HTN, hypertension; IHD, ishaemic heart disease; IRR, incidence rate ratio; IS, ischaemic stroke; LCU, life change units; MI, myocardial infarction; OCD, obsessive compulsive disorder; O/E, observed to exposed ratio; OR, odds ratio; RR, relative risk; T2DM, type 2 diabetes mellitus; TIA, transient ischaemic attack.

Table 2. Characteristics of all studies examining the effect of stillbirth in long-term maternal morbidity and mortality included in the systematic review.

Lead author and publication date (Country) Study design Follow-up (years) Exposure Gestation Type of control Outcome Number of exposed with outcome Number of controls with outcomes Result (OR, HR, RR, 95% CI)
Auger and colleagues (2021), Canada [35] Prospective cohort 29 History of stillbirth Loss >20 weeks Pregnancy ending in live birth Mortality <5 6,965 HR 1.68 95% CI (1.17, 2.41)
Barret and colleagues (2020) Sweden [9] Prospective cohort 20.7 History of stillbirth From 1973–2008: >28 weeks, 2008–2012: >22 weeks Singleton live birth with no stillbirth CKD and ESRF 1: CKD: 202
2: ESRF: 34
1:
CKD: 17,815
2:
ESRF: 1,249
1: HR 1.26 95% CI (1.09, 1.45)
2: HR 2.25 95% CI (1.55, 3.25)
Bourne and colleagues (1968), UK [15] Retrospective cohort 2 History of stillbirth - Singleton live birth with no stillbirth Any type of psychological symptoms 14 11 No significant association
Boyle and colleagues (1996), Australia [36] Prospective cohort 30 History of stillbirth - Singleton live birth with no stillbirth Delusion symptoms 6 5 RR 2.78 95% CI (0.83, 9.38)
Brinton and colleagues (1983), USA [61] Case-control - History of stillbirth Loss >16 weeks Singleton live birth with no stillbirth Breast cancer 9 985 RR 0.81 95% CI (0.3, 2.2)
Calderon-Margalit and colleagues (2007), Israel [40] Prospective cohort 36.5 History of stillbirth Loss >28 weeks No history of stillbirth 1: CHD
2: Circulatory disease
3: Mortality from cancers
9 180 1: HR 2.00 95% CI (1.02, 3.93)
2: HR 1.7 95% CI (1.02, 2.84)
3: HR 1.29 95% CI (0.78, 2.15)
Calle and colleagues (1995), USA [46] Case-control 7 History of stillbirth Loss >20 weeks No history of stillbirth Breast cancer - - RR 1.06 95% CI (0.84, 1.34)
Coleman and colleagues (2013), Denmark [27] Retrospective cohort 25 History of stillbirth - No history of loss All-causes mortality 9,320 246,252 OR 2.815 95% CI (2.207, 3.592)
Egerup and colleagues (2020), Denmark [60] Case-control 40 History of stillbirth Loss >22 weeks No history of loss T2DM 270 1,534 OR 1.94 95% CI (1.69, 2.21)
Gallagher and colleagues (2011), USA [41] Prospective cohort 11 History of stillbirth - No history of stillbirth 1: IHD
2: IS
3: HS
1:
1 loss: 13
2 losses: 4
2:
1 loss: 21
2 losses: 8
3:
1 loss: 21
2 losses: 8
1: 408
2: 482
3: 1,517
1:
1 loss: HR 0.76 95% CI (0.43, 1.31)
2 losses: HR 1.02 95% CI (0.38, 2.73)
2:
1 loss: HR 0.86 95% CI (0.55, 1.33)
2 losses: HR 1.36 95% CI (0.68, 2.75)
3:
1 loss: HR 1.09 95% CI (0.86, 1.40)
2 losses: HR 0.80 95% CI (0.44, 1.44)
Gravesteen and colleagues (2012), Norway [57] Case-control 28 History of stillbirth Loss ≥23 weeks Singleton live birth with no stillbirth Depression 18 41 OR 0.77 95% CI (0.37, 1.57)
Hogue and colleagues (2015), USA [58] Case-control 3 History of stillbirth Loss >20 weeks Singleton live birth with no stillbirth Depression 270 461 OR 2.00 95% CI (1.00, 3.80)
Horn and colleagues (2019), Norway [34] Prospective cohort 20 History of stillbirth Loss >20 weeks Singleton live birth with no stillbirth 1: HTN
2: HC
3: T2DM
1:
Total: 511
1 loss: 470
2 losses: 41
2:
Total: 717
1 loss: 668
2 losses: 49
3:
Total: 147
1 loss: 133
2 losses: 14
1: 16,744
2: 24,541
3: 3,229
1:
Total: HR 1.08 95% CI (0.99, 1.18)
1 loss: HR 1.06 95% CI (0.9, 1.16)
2 losses: HR 1.13 95% CI (0.99, 1.83)
2:
Total: HR 1.01 95% CI (0.94, 1.09)
1 loss: HR 1.01 95% CI (0.93, 1.09)
2 losses: HR 1.09 95% CI (0.82, 1.45)
3:
Total: HR 1.36 95% CI (1.15, 1.61)
1 loss: HR 1.34 95% CI (1.12, 1.60)
2 losses: HR 1.59 95% CI (0.94, 2.71)
Hvidtjørn and colleagues (2015), Denmark [32] Prospective cohort 29 History of stillbirth From 1980–2004: >28 weeks, 2004–2008: >22 weeks No history of stillbirth 1: Circulatory mortality
2: Cancer mortality
3: Renal mortality
1: 22
2: 34
3: 0
1: 849
2: 3,210
3: 28
1: HR 2.68 95% CI (1.72, 4.17)
2: HR 1.14 95% CI (0.80, 1.63)
3: HR N/A
Kharazm and colleagues (2011), Germany [42] Prospective cohort 10.8 History of stillbirth - No history of stillbirth 1: MI
2: Stroke
1: 7
2: 5
1: 72
2: 102
1: HR 3.43 95% CI (1.53, 7.72)
2: HR 1.81 95% CI (0.65, 5.05)
Kharazmi and colleagues (2012), Germany [30] Prospective cohort 15.2 History of stillbirth - No history of stillbirth T2DM - - HR 1.20 95% CI (0.59, 2.44)
Maino and colleagues (2016), the Netherlands [8] Case-control 3 History of stillbirth Loss >22 weeks No history of stillbirth 1: MI
2: IS
3: Any arterial thrombosis
1: 13
2: 13
3: 26
1: 155
2: 106
3: 261
1: OR 1.04 95% CI (0.39, 2.76)
2: OR 2.06 95% CI (0.81, 5.23)
3: OR 1.68 95% CI (0.79, 3.55)
Mikklesen and colleagues (2019), Denmark [59] Case-control 20 History of stillbirth - No history of stillbirth 1: Breast cancer
2: Ovarian cancer
3: Endometrial cancer
4: Cervical cancer
5: Bladder cancer
6: Renal cancer
7: Lung cancer
8: GI cancer
9: Brain cancer
10: Haematological cancer
11: Melanoma
12: All cancers
1: 79
2: 9
3: 7
4: 16
5: <5
6: 5
7: 25
8: 28
9: <5
10: 22
11: 26
12: 230
1: 1,010
2: 82
3: 79
4: 121
5: 14
6: 37
7: 176
8: 256
9: 27
10: 157
11: 275
12: 2,397
1: OR 0.84 95% CI (0.66, 1.07)
2: OR 1.27 95% CI (0.60, 2.69)
3: OR 1.03 95% CI (0.43, 2.45)
4: OR 1.26 95% CI (0.74, 2.14)
5: OR N/A
6: OR 1.32 95% CI (0.51, 3.41)
7: OR 1.32 95% CI (0.86, 2.04)
8: OR 1.13 95% CI (0.76, 1.68)
9: OR N/A
10: OR 0.63 95% CI (0.29, 1.63)
11: OR 0.92 95% CI (0.61, 1.38)
12: OR 0.94 95% CI (0.83, 1.09)
Pariente and colleagues (2014), Israel [16] Retrospective cohort 25 History of stillbirth Loss >24 weeks No history of stillbirth 1: CNP
2: CIP
3: SCE
4: CCE
5: TCH
6: Renal morbidity
1: 21
2: 11
3: 41
4: 56
5: 92
6: 8
1: 974
2: 390
3: 1,266
4: 1,656
5: 3,117
6: 97
1: OR 1.06 95% CI (0.60, 1.60)
2: OR 1.40 95% CI (0.80, 2.70)
3: OR 1.70 95% CI (1.20, 2.20)
4: OR 1.80 95% CI (1.30, 2.30)
5: OR 1.50 95% CI (1.20, 1.80)
6: OR 3.10 95% CI (1.40, 6.6)
Parker and colleagues (2014) USA [31] Prospective cohort 10.6 History of stillbirth - No history of stillbirth 1: MI
2: IS
1: 179
2: 97
1: 2,809
2: 1,406
1: OR 1.27 95% CI (1.07, 1.51)
2: OR 1.13 95% CI (0.89–1.43)
Peters and colleagues (2017), China [18] Retrospective cohort 7 History of stillbirth - Singleton live birth with no stillbirth 1: CHD
2: Stroke
3: Circulatory disease
1:
Total: 1,196
1 loss: 822
2 losses: 240
3 losses: 134
2:
Total: 2,138
1 loss: 1,355
2 losses: 368
3 losses: 145
3:
Total: 3,487
1 loss: 2,538
2 losses: 662
3 losses: 287
1: 13,078
2: 17,846
3: 40,052
1:
Total: HR 1.00 95% CI (0.94, 1.07)
1 loss: HR 0.96 95% CI (0.90, 1.02)
2 losses: HR 95% CI 1.08 (0.95, 1.23)
3 losses: HR 95% CI 1.31 (1.10, 1.56)
2:
Total: HR 1.06 95% CI (1.01, 1.12)
1 loss: HR 1.05 95% CI (1.00, 1.11)
2 losses: HR 1.13 95% CI (1.02, 1.25)
3 losses: HR 0.99 95% CI (0.84, 1.17)
3:
Total: HR 1.07 95% CI (1.03, 1.11)
1 loss: HR 1.05 95% CI (0.98, 1.05)
2 losses: HR 1.12 95% CI (1.04, 1.21)
3 losses: HR 1.13 95% CI (1.01, 1.28)
Peters and colleagues (2019), China [18] Retrospective cohort 9.2 History of stillbirth - Singleton live birth with no stillbirth T2DM Total: 560
1 loss: 432
2 losses: 128
7,149 Total: HR 1.10 95% CI (0.99, 1.19)
1 loss: HR 1.10 95% CI (1.00, 1.20)
2 losses: HR 1.08 95% CI (0.90, 1.29)
Rådestad and colleagues (1996), Sweden [23] Retrospective cohort 3 History of stillbirth Loss >28 weeks Singleton live birth with no stillbirth Anxiety 31 15 RR 2.10 95% CI (1.20, 3.90)
Ranthe and colleagues (2013), Denmark [28] Retrospective cohort 40 History of stillbirth - Singleton live birth with no stillbirth 1: MI
2: IS
3: Renal HTN
1: 56
2: 52
3: 22
1: 2,742
2: 4,001
3: 1,247
1: IRR 2.69 95% CI (2.06, 3.50)
2: IRR 1.74 95% CI (1.32, 2.28)
3: IRR 2.42 95% CI (1.59, 3.69)
Rao and colleagues (1994), India [45] Case-control - History of stillbirth - No history of stillbirth Breast cancer 10 653 RR 0.90 95% CI (0.60, 1.40)
Vance and colleagues (1991), Australia [22] Retrospective cohort 2.5 History of stillbirth Loss >20 weeks Singleton live birth with no stillbirth 1: Anxiety
2: Depression
1: 28
2: 19
1: 17
2: 7
1: OR: 3.90 95% CI (2.10, 10.50)
2: OR: 6.90 95% CI (2.10, 22.5)
Winkelstein and colleagues (1958), USA [44] Case-control - History of stillbirth - No history of stillbirth MI 13 6 Not provided
Winkelstein and colleagues (1964), USA [55] Case-control - History of stillbirth - No history of stillbirth IHD 17 42 Not provided
Xu and colleagues (2004), China [51] Case-control 3 History of stillbirth - No history of stillbirth Endometrial cancer 10 760 OR 0.64 95% CI (0.27, 1.48)

CCE, complex cardiovascular events; CHD, coronary heart disease; CI, confidence interval; CIP, cardiac invasive procedures; CKD, chronic kidney disease; CNP, cardiac non-invasive events; ESRF, end-stage renal failure; GI, gastrointestinal; HC, hypercholesterolaemia; HR, hazard ratio; HS, haemorrhagic stroke; HTN, hypertension; IHD, ischaemic heart disease; IS, ischaemic stroke; MI, myocardial infarction; OR, odds ratio; RR, relative risk; SCE, simple cardiovascular event; T2DM, type 2 diabetes mellitus; TCH, total cardiac hospitalizations.

Risk of bias assessment

In the studies of women experiencing a miscarriage (n = 49), the overall risk of bias was low. Specifically, among the domains of selection, comparability, and outcome/exposure, most studies received 7 out of 9 or above with more than half being awarded a score of 9. Only 1 study was identified as being at high risk of bias [37].

There were 29 studies looking at women experiencing a stillbirth with most being at low risk of bias, with only 1 study identified as being at high risk of bias [15] (Figs B–D in S1 Appendix).

Publication bias was assessed in 2 outcomes: IHD and breast cancer in the miscarriage arm. Both funnel plots appear symmetrical denoting low risk of publication bias (Fig E in S1 Appendix).

Outcomes

Ischaemic heart disease (IHD)

A total of 14 studies [8,12,17,18,24,26,28,41,42,44,48,54,55,63] looked at risk of IHD in women experiencing miscarriage (n = 297,221) compared with those with no previous history of miscarriage (n = 1,537,851), and 3,288 (1.12%) women with miscarriage and 18,760 (1.22%) of controls developed IHD, with a pooled RR of 1.11 (95% CI [0.98, 1.27]; p = 0.10, I2 = 89%, 95% PI [0.46, 2.76]) (Fig 2a). Subgroup analysis was performed to compare women who experienced recurrent miscarriage (n = 54,489) to those with no previous history of miscarriage (n = 1,152,826) and to those with a history of a single loss (n = 200,000). IHD was observed in 352 (0.65%), 1,081 (0.54%), and 5,222 (0.45%) women with recurrent, single, and no loss. When comparing the risk of IHD in women with recurrent losses as opposed to those without a history of fetal loss, the pooled RR was 1.21 (95% CI [0.81, 1.80]; p = 0.35, I2 = 92%, 95% PI [0.14, 16.33]) (Fig L in S1 Appendix). Similarly, recurrent loss compared with a single loss resulted in a pooled estimate of 1.13 (95% CI [0.89, 1.44]; p = 0.32, I2 = 71%, 95% PI [0.26, 7.72]) (Fig K in S1 Appendix).

Fig 2. Forest plot with pooled RR and 95% CIs for cardiovascular morbidity outcomes in women with and without history of miscarriage or stillbirth.

Fig 2

(a) IHD in women with miscarriage vs. no miscarriage, (b) IHD in women with stillbirth vs. no history of stillbirth, (c) cerebrovascular disease in women with miscarriage vs. no miscarriage, (d) cerebrovascular in women with stillbirths vs. no stillbirth, (e) overall circulatory disease in women with stillbirth vs. no stillbirth. CI, confidence interval; IHD, ischaemic heart disease; RR, risk ratio.

Nine studies looked at history of stillbirth and future maternal IHD [8,18,28,31,4042,44,55]. Our analysis included 36,213 women with a history of stillbirth and 1,442,348 without a history, of which 1,507 (4.16%) of the former and 19,492 (1.35%) of the latter developed IHD. Our pooled RR demonstrated a greater risk of developing IHD after stillbirth (RR 1.56, 95% CI [1.30, 1.88]; p < 0.001, I2 = 75%, 95% PI [0.49, 5.15]) (Fig 2b).

Cerebrovascular disease

There were 8 studies which examined the likelihood of developing long-term cerebrovascular disease including haemorrhagic and ischaemic stroke after miscarriage [8,12,17,18,25,28,41,42]. Our meta-analysis included data from 7 studies involving 282,975 women with a history of miscarriage compared with 1,411,788 controls without a history. Of these 3,916 (1.38%) with a history of miscarriage and 24,147 (1.71%) without a history of miscarriage developed cerebrovascular disease. Our analysis yielded a pooled RR of 1.01 (95% CI [0.85, 1.21]; p = 0.89, I2 = 94%, 95% PI [0.74, 1.32]) (Fig 2c). The study by Pell and colleagues (2004) (miscarriage: 10,850; controls: 108,818) was excluded from our analysis as the data were unavailable. Subgroup analysis showed that women with a history of recurrent miscarriage did not have a higher risk of stroke, when compared to either women without a loss or women with a single loss (Figs N(b) and M(b) in S1 Appendix).

There were 6 studies assessing the risk of stillbirth with long-term cerebrovascular maternal morbidity, with the majority using ischaemic stroke as an outcome of interest [8,18,28,31,41,42]. These studies included a total of 35,539 women with a previous history of stillbirth and 1,418,143 controls, of which 2,143 (6.03%) and 25,618 (1.81%) had a stroke, respectively. The pooled RR was estimated at 1.71 (95% CI [1.44, 2.03]; p < 0.001, I2 = 73%, 95% PI [1.19, 2.42]) (Fig 2d).

Circulatory/cardiovascular disease

In the studies assessing overall cardiovascular risk, there were several studies which combined ischaemic stroke, haemorrhagic stroke, and IHD as a single outcome, defined as circulatory disease. There were 3 studies in women experiencing miscarriage [12,17,18] and 3 in women experiencing stillbirth [18,32,40]. There were 59,872 women with a history of miscarriage, compared to 342,095 controls without a history of miscarriage, and 26,075 women with a history of stillbirth compared to 1,126,946 controls without a history. Of these 6,573 (10.98%) women and 47,978 (14.02%) controls in the miscarriage arm and 3,524 (13.51%) women and 41,263 (3.66%) controls in the stillbirth arm developed circulatory disease. Meta-analysis was not conducted for the studies including women with miscarriage as they were considerably different and could not be grouped together.

The pooled RR for circulatory/cardiovascular disease was 1.86 (95% CI [1.01, 3.45]; p = 0.05, I2 = 90%, 95% PI [0.74, 4.10]) (Fig 2e) in women experiencing stillbirth.

T2DM

The association of miscarriage with the incidence of future T2DM was examined in 5 studies [10,21,30,34,60], and data were extracted from 3 studies [10,21,60], which included 154,435 women (events: 5,702 [3.69%]) with a history of miscarriage and 593,750 controls (events: 22,188 [3.74%]) without a history with a pooled RR of 0.82 (95% CI [0.43, 1.59]; p = 0.57, I2 = 100%, 95% PI [0.54, 1.51]) (Fig 3a).

Fig 3. Forest plots with pooled RR and 95% CIs for outcomes in women with and without history of miscarriage or stillbirth.

Fig 3

(a) T2DM in women with miscarriage vs. no miscarriage, (b) T2DM in women with stillbirth vs. no stillbirth, and (c) renal disease in women with stillbirth vs. no stillbirth. CI, confidence interval; RR, risk ratio; T2DM, type 2 diabetes mellitus.

Three studies [10,30,34] assessed the relationship of stillbirth and long-term T2DM, with 18,310 women experiencing stillbirth compared to 313,737 controls, of which 628 (3.43%) and 10,135 (3.23%) women developed T2DM respectively with a pooled RR of 1.16 (95% CI [1.07, 1.26]; p < 0.001, I2 = 0%, 95% PI [1.05, 1.35]) (Fig 3b).

Renal disease

There was only 1 study [28] investigating the risk of renal disease following miscarriage; therefore, meta-analysis was not possible. There were 5 studies investigating the risk of renal disease following stillbirth which included women experiencing renal cancer or other renal-associated mortality [9,16,28,32,59]. We pooled data only from studies where end-stage renal disease was defined as the outcome [9,16,28]. This included 3 studies with a total of 23,102 (events: 265 [1.15%]) exposed women and 2,868,042 (events: 20,408 [0.71%]) controls, resulting in a pooled RR of 1.97 (95% CI [1.51, 2.57]; p < 0.001, I2 = 39%, 95% PI [1.06, 4.72]) (Fig 3c).

Malignant disease

There were 15 studies assessed the association between miscarriage and future breast cancer diagnosis or mortality [19,33,46,47,49,50,52,53,59,61,62,6467]. Data were extracted from all studies but the study by Goldacre and colleagues provided no extractable data and included 229,606 women with a history of miscarriage and 753,236 without a history, of which 6,381 (2.78%) and 23,514 (3.12%) developed breast cancer, respectively. The pooled RR was 0.99 (95% CI [0.93, 1.05]; p = 0.69, I2 = 79%, 95% PI [0.67, 1.48]) (Fig 4a). In a subgroup analysis, recurrent exposure to miscarriage did not demonstrate any difference in the risk of breast cancer when compared to either single or no history of loss (Figs K(b) and L(b) in S1 Appendix).

Fig 4. Forest plots with pooled RR and 95% CIs for oncological morbidity outcomes in women with and without history of miscarriage or stillbirth.

Fig 4

(a) Breast cancer in women with miscarriage vs. no miscarriage, (b) breast cancer in women with stillbirth vs. no stillbirth, (c) ovarian cancer in women with miscarriage vs. no miscarriage, (d) uterine malignancies in women miscarriage vs. no miscarriage, (e) all cancer-related mortality in women with stillbirth vs. no stillbirth. CI, confidence interval; RR, risk ratio.

Four studies assessed the risk of miscarriage and the future diagnosis of ovarian cancer. They included a total of 65,898 women with a history of at least 1 miscarriage and 285,613 without, of which 908 (1.38%) in the former group and 2,697 (0.94%) in the latter developed ovarian cancer [19,43,56,59]. The pooled RR was 1.00 (95% CI [0.94, 1.06]; p = 0.98, I2 = 0%, 95% PI [0.78, 1.57]) (Fig 4c). Subgroup analysis comparing recurrent with a single miscarriage yielded similar results (Fig N(c) in S1 Appendix).

Two studies assessed the association of miscarriage with endometrial cancer [51,59] and 2 with cervical cancer [19,59]. These studies included a total of 12,240 women with a history of miscarriage and 116,425 controls, of which 498 (4.07%) in the exposed and 2,075 (1.78%) in the control arms developed uterine malignancies. The association of miscarriage with the incidence of uterine cancer yielded a pooled RR of 1.05 (95% CI [0.85, 1.31]; p = 0.65, I2 = 75%, 95% PI [0.83, 1.54]) (Fig 4d).

Four studies examined the risk of breast cancer in women who had experienced stillbirth. These studies comprised of a total of 1,129 women with a history of stillbirth and 118,412 without, with 98 (8.68%) of exposed and 12,306 (10.39%) controls developing breast cancer [45,46,59,61]. The pooled risk of the included studies demonstrated a small but significant reduction in the risk of breast cancer (RR: 0.80, 95% CI [0.67, 0.96]; p = 0.02, I2 = 0%, 95% PI [0.72, 0.93]) (Fig 4b). Moreover, endometrial [51,59] and ovarian [59] malignancy risk was examined in 2 and 1 studies, respectively, while cervical malignancy risk was assessed in 1 paper [59]. These studies investigated a total of 2,654 women with stillbirth and 276,553 without, of which 42 (1.58%) and 1,052 (0.38%) developed female malignancies, respectively. No meta-analysis was performed as not enough studies were retrieved.

Three studies assessed the risk of all cancer-related mortality in women with a previous history of stillbirth (n = 8,609; events: 81) [32,40,59] compared to those without such loss (controls: n = 885,036; events: n = 6,245). Analysis showed an RR of 1.17 (97% CI [0.95, 1.45]; p = 0.15, I2 = 0%, 95% PI [1.13, 1.29]) (Fig 4e).

Mental health illness

Future risk of long-term depression, anxiety, stress, and alcohol dependence were assessed after pregnancy loss in 5 studies of women with a history of miscarriage [3739,68,69] and in 6 studies in women with a history of stillbirth [15,22,23,36,57,58]. The paper by Toffol and colleagues included data from 2 separate studies, and such we considered them as different cohorts, as reflected by the annotation in Table 1. These studies included 1,089 women with pregnancy loss and were compared with 4,515 controls, with 89 (8.20%) of the former and 215 (4.76%) of the latter developing long-term mental health outcomes. The pooled RR of long-term depression following miscarriage was 1.78 (95% CI [0.88, 3.62]; p = 0.11, I2 = 88%, 95% PI [1.13, 4.16]) (Fig 5a). Four studies examined depression risk in women with history of stillbirth [22,36,57,58] including 545 (events: 256 [46.97%]) women with loss and 1,172 (events: 388 [33.12%]) controls, resulting in a pooled RR of 1.88 (95% CI [0.95, 3.70]; p = 0.07, I2 = 85%, 95% PI [0.34, 9.51]) (Fig 5b). There were 2 studies exploring the risk of anxiety related to a history of stillbirth [22,23] and meta-analysis was not possible.

Fig 5. Forest plots with pooled RR and 95% CIs for depression in women with and without history of (a) miscarriage or (b) stillbirth.

Fig 5

CI, confidence interval; RR, risk ratio.

Discussion

We conducted a systematic review and meta-analysis examining the association between fetal loss and long-term maternal morbidity or mortality in women experiencing either miscarriage or stillbirth.

Our results suggest that women experiencing stillbirth have an increased risk of developing IHD and cerebrovascular disease by 56% and 71%, respectively. We showed a 16% increase in the risk of T2DM after stillbirth. Additionally, women with a history of stillbirth are almost twice as likely to develop renal disease in the future. There was no evidence of an association between history of stillbirth, single or recurrent miscarriage with future psychiatric disease, ovarian or any other female malignancies.

Cardiovascular disease (CVD) is one of the most commonly examined long-term maternal morbidities after pregnancy loss [10,17,28,40]. Individual population-based cohort studies demonstrate an increase in the risk of IHD ranging from 1.7 [44] to 2.7 [28] times compared to women with no history of pregnancy loss. However, there are other studies not supporting such an association in this systematic review [8,41,54]. Our results are in keeping with published systematic reviews in this area suggesting a history of stillbirth increases the risk of CVD by up to 50% [70]. Our work provides an updated and comprehensive analysis, covering a longer follow-up period. However, we acknowledge that risk factors for stillbirth such as preeclampsia and gestational diabetes are established risk factors for CVD. Given the available data in aggregated studies, we were unable determine the impact of these factors individually in this review. It is possible that data on combined risk factors (such as gestational diabetes and preeclampsia combined, along with others) may have influenced our findings. Our results suggest that a history of stillbirth maybe an indicator of cardiovascular risk over and above established risk factors such as gestational diabetes for long-term morbidity and merits further research.

There are several studies examining the association of miscarriage with long-term development of CVD with conflicting results with some of these suggesting that miscarriage increases future CVD [24,28,44,48], whereas the majority were unable to demonstrate an effect [17,26,41]. A previous meta-analysis by Oliver-Williams and colleagues concluded that miscarriage increases the risk of CVD by 45%, while recurrent exposure makes it twice as likely [11]. Our results, which update these analyses, did not find a substantial relationship between miscarriage including recurrent loss with developing CVD. This may be due to the addition of contemporary studies with more complete longitudinal data and case definitions.

Cerebrovascular disease, while closely associated with IHD, is often examined separately because of the different pathological mechanisms and related morbidity. Studies investigating the association of history of stillbirth with both ischaemic and haemorrhagic strokes are varied, with some suggesting an increase in the risk [18,28], while others did not show an association [8,41,42]. Our analysis is the first pooled analysis of cerebrovascular morbidity to our knowledge in women experiencing a stillbirth. Our results suggest an overall higher risk of morbidity in women with a history of stillbirth, again suggesting a stillbirth maybe a marker of early cardiovascular disease.

Stillbirth and miscarriage are pregnancy losses occurring at different gestational ages and it has been hypothesised that they may share an underlying aetiology related to placental malformation, thrombotic and vascular changes. It is suggested that women experiencing stillbirth are exposed to these changes for a longer period and therefore are further predisposed to long-term cerebrovascular disease. However, other risk factors such as hyperlipidaemia, hyperglycaemia, preeclampsia, insulin resistance, and gestational diabetes [71,72] contribute to both higher risk of stillbirth and subsequent greater risk of CVD or other metabolic consequences. Early miscarriages (either single or recurrent) are more likely to be multifactorial with vascular factors in only a small percentage of them which would dilute the impact on the overall CVD risk [73].

The metabolic disturbances and the related hyperinsulinemia and insulin resistance in pregnancy [74,75] can lead to the future development of T2DM in women with a history of stillbirth. Our results support this, as we demonstrated a 16% increase in the exposed group compared to controls. A prospective cohort study by Horn and colleagues suggests a 45% increase in the risk [34]. History of stillbirth can be on the causal pathway between pregnancy hyperglycaemia and T2DM; this may dilute the direct association between stillbirth and T2DM because of the strength of the association of other mediating and risk factors such as obesity, diet, and ethnicity [76,77].

Renal disease and hypertensive disorders following stillbirth have been explored in the literature. Specifically, data by Barret and colleagues illustrate a 30% increase in the risk of developing CKD, following stillbirth, as renovascular hypertension (RHTN) is common in these women [9]. Our pooled analyses support this. Whether this is mediated through hypertensive disorders in pregnancy is unclear, but our analysis shows the potential of identifying women at risk of future disease.

The correlation between history of stillbirth and occurrence of maternal malignancy is inconsistent in the literature. Breast, ovarian, endometrial, and cervical cancers are the most commonly reported neoplasms [45,46,59,61]. Our meta-analysis suggests that women experiencing a stillbirth are at a lower risk of developing breast cancer in the future. The mechanisms mediating the modest risk reduction for history of stillbirth warrant further laboratory, clinical, and epidemiological investigations but may be partially related with reduced gestational duration and therefore exposure to high levels of reproductive hormones. A well-defined comparator group and good phenotype of breast cancer types may shed more light on the mechanisms underlying this association. Our analysis involved a small number of studies, something necessitating further research with replication of results in future studies.

Pregnancy loss of any type is considered a significant psychological stressor with detrimental effects to maternal wellbeing. Women experiencing loss often exhibit signs of guilt, anger, sadness, and, in some cases, depression [5]. They often view stillbirth or miscarriage as the loss of a family member and therefore undergo a mourning process [5]. Studies indicate that the rate of depression and anxiety-related illness observed in mothers with a history of pregnancy loss is up to 55% [7880] and 45% of exposed women, respectively [7,81,82]. Research suggests that signs of psychological morbidities remain evident up to 3 years after stillbirth, even with the birth of another child [80,83]. Our results demonstrate an association, albeit not significant, between history of stillbirth or miscarriage and depression beyond 1 year following the loss. The heterogeneity of the tools for assessing depression, in the duration of follow-ups and methodological approaches, may have weakened the association in our pooled analysis [23,36,58]. There is a need to further assess this relationship with more objective tools and a larger more representative population.

Our meta-analysis has several strengths. To our knowledge, this study is the first comprehensive systematic review evaluating the likelihood of future morbidity and mortality across all organ systems in women with a previous exposure to any type of pregnancy loss. Our search involved 6 global electronic databases with no time or language restrictions, including a search of the grey literature. Secondly, the majority of the included studies scored highly on the NOS quality assessment tool, thereby indicating low risk of methodological bias in the aggregated data. Lastly, the heterogeneity reported in some of the outcomes including malignant and renal disease in the stillbirth cohort was small, indicating appropriate grouping of results.

However, there are also limitations. Firstly, the heterogeneity for the circulatory, metabolic, and psychiatric outcomes was relatively high for both the stillbirth and miscarriage groups. This could be explained by the small number of studies, which might not be fully representative of the prevalence of these conditions in the general population. It can be argued that while I2 is able to compare heterogenicity of meta-analysis with different numbers of studies, it has been shown to also increase in value with increasing sample size. In our meta-analysis, some of the included studies involve many thousands of women and thus tau2 figures, which is unaffected by sample size, are more useful in assessing heterogeneity [84]. Additionally, the follow-up period, sample size reported, as well as definitions of stillbirth and miscarriage also varied between studies, further contributing to this variation. Also, we note that while we used the most adjusted results from the studies, we recognise that there is some degree of confounding which cannot be accounted for. This is because the included studies are observational and thus, we extracted aggregated data with variable degrees of adjustment. This is specifically relevant to the association of stillbirth with CVD as we are unable to adjust for preeclampsia or gestational diabetes in the aggregated data. Some of the reported outcomes, for example, breast cancer in women with a history of stillbirth involved a small number of studies, something which warrants further research to investigate reliability of the results. Lastly, most of the retrieved studies investigated the population from high-income regions, suggesting our findings may not be generalisable in middle- and low-income settings.

Our results show women experiencing a fetal loss, and specifically stillbirth, are at a higher risk of IHD, cerebrovascular disease, T2DM, as well as renal morbidities. Although it is unclear whether the associations are causal, our results identify a group of high-risk women for subsequent disease that may benefit from close monitoring and primary prevention mechanisms for risk modification. Further research which will phenotype better this high-risk group and assess the additional value of stillbirth beyond established risk factors such as preeclampsia and gestational diabetes is warranted.

Supporting information

S1 Appendix. Supporting information.

Fig A in S1 Appendix: Key Word Strategy. Fig B in S1 Appendix: Quality assessment of cohort studies using Adapted Newcastle Ottawa Scale. Fig C in S1 Appendix: Quality assessment of case-controlled studies using Adapted Newcastle Ottawa Scale. Fig D in S1 Appendix: Quality assessment of cross-sectional studies using Adapted Newcastle Ottawa Scale. Fig E in S1 Appendix: Funnel plots of the association of miscarriage and (a) ischaemic heart disease and (b) breast cancer. Fig F in S1 Appendix: Forrest plots presenting pooled RRs for development of (a) ischaemic heart disease, (b) cerebrovascular disease and (c) circulatory diseases for the miscarriage arm using the Mantel–Haenszel random effects model with dichotomous data in meta-analysis. Fig G in S1 Appendix: Forrest plots presenting pooled RRs for development of (a) type 2 diabetes mellitus and (b) depression for the miscarriage arm using the Mantel–Haenszel random effects model with dichotomous data in meta-analysis. Fig H in S1 Appendix: Forrest plots presenting pooled RRs for development of (a) breast cancer, (b) ovarian cancer, and (c) uterine malignancies for the miscarriage arm using the Mantel–Haenszel random effects model with dichotomous data in meta-analysis. Fig I in S1 Appendix: Forrest plots presenting pooled RRs for development of (a) ischaemic heart disease, (b) cerebrovascular disease, (c) breast cancer, and (d) ovarian cancer for recurrent vs. single miscarriage using the Mantel–Haenszel random effects model with dichotomous data in meta-analysis. Fig J in S1 Appendix: Forrest plots presenting pooled RRs for development of (a) ischaemic heart disease, (b) cerebrovascular disease, and (c) breast cancer for recurrent vs. no miscarriage using the Mantel–Haenszel random effects model with dichotomous data in meta-analysis. Fig K in S1 Appendix: Forrest plots presenting pooled RRs for development of (a) ischaemic heart disease, (b) cerebrovascular disease, (c) breast cancer, and (d) ovarian cancer for recurrent vs. single miscarriage using the Generic inverse variance random effects model meta-analysis. Fig L in S1 Appendix: Forrest plots presenting pooled RRs for development of (a) ischaemic heart disease, (b) cerebrovascular disease, and (c) breast cancer for recurrent vs. no miscarriage using the Generic inverse variance random effects model with dichotomous data in meta-analysis. Fig M in S1 Appendix: Forrest plots presenting pooled RRs for development of (a) ischaemic heart disease, (b) cerebrovascular disease, and (c) circulatory disease for stillbirth arm using the Mantel–Haenszel random effects model with dichotomous data in meta-analysis. Fig N in S1 Appendix: Forrest plots presenting pooled RRs for development of (a) breast cancer, (b) female malignancies, and (c) all malignancies for stillbirth arm using the Mantel–Haenszel random effects model with dichotomous data in meta-analysis. Fig O in S1 Appendix: Forrest plots presenting pooled RRs for development of (a) type 2 diabetes, (b) renal disease, (c) depression for stillbirth arm using the Mantel–Haenszel random effects model with dichotomous data in meta-analysis. Table A in S1 Appendix: Outcome definitions of the miscarriage arm of the meta-analysis. Table B in S1 Appendix: Outcome definitions of the stillbirth arm of the meta-analysis. Table C in S1 Appendix: Covariate/Confounding variables the researchers adjusted for in the studies of miscarriage. Table D in S1 Appendix: Covariate/Confounding variables the researchers adjusted for in the studies of stillbirth.

(DOCX)

S1 PRISMA Checklist. PRISMA checklist.

(DOCX)

Abbreviations

BAPM

British Association of Perinatal Medicine

CI

confidence interval

CKD

chronic kidney disease

ESRF

end-stage renal failure

HMIC

Healthcare Management Information Consortium

HR

hazard ratio

IHD

ischaemic heart disease

NOS

Newcastle Ottawa Scale

NTIS

National Technical Information Service

OR

odds ratio

PI

prediction interval

RR

risk ratio

T2DM

type 2 diabetes mellitus

Data Availability

All relevant data are within the manuscript and its Supporting information files.

Funding Statement

The author(s) received no specific funding for this work.

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Decision Letter 0

Callam Davidson

6 Mar 2023

Dear Dr Daru,

Thank you for submitting your manuscript entitled "Fetal loss and long-term maternal morbidity and mortality; a systematic review and meta-analysis." for consideration by PLOS Medicine.

Your manuscript has now been evaluated by the PLOS Medicine editorial staff as well as by an academic editor with relevant expertise and I am writing to let you know that we would like to send your submission out for external peer review.

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Kind regards,

Callam Davidson

Senior Editor

PLOS Medicine

Decision Letter 1

Alexandra Schaefer

17 May 2023

Dear Dr. Daru,

Thank you very much for submitting your manuscript "Fetal loss and long-term maternal morbidity and mortality; a systematic review and meta-analysis." (PMEDICINE-D-23-00438R1) for consideration at PLOS Medicine.

Your paper was evaluated by an associate editor and discussed among all the editors here. It was also discussed with an academic editor with relevant expertise, and sent to independent reviewers, including a statistical reviewer. The reviews are appended at the bottom of this email and any accompanying reviewer attachments can be seen via the link below:

[LINK]

In light of these reviews, I am afraid that we will not be able to accept the manuscript for publication in the journal in its current form, but we would like to consider a revised version that addresses the reviewers' and editors' comments. Obviously we cannot make any decision about publication until we have seen the revised manuscript and your response, and we plan to seek re-review by one or more of the reviewers.

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We look forward to receiving your revised manuscript.

Sincerely,

Alexandra Schaefer, PhD

PLOS Medicine

plosmedicine.org

-----------------------------------------------------------

ACADEMIC EDITOR COMMENTS

The reviewers raise a number of issues with this paper - the majority of which I agree with.

My main concerns are

The potential for confounding is very large and this was not addressed. Even if papers did appropriately adjust for potential confounding (which was not presented) the potential for residual confounding is high. It is well recognised that pregnancy complications and cardiovascular disease share similar risk factors.

The authors argue that even if the association is due to shared risk factors it is still useful to identify a high risk population so they can be followed up. I disagree. There are much stronger cardiovascular risk factors than stillbirth and well validated risk tools for assessment of cardiovascular risk, therefore the clinical benefit of using stillbirth to identify risk is questionable (especially when the evidence for the association is not strong).

The timing of exposure (pregnancy loss) and outcome (maternal health) is crucial in these analyses- ie did the pregnancy loss precede development of illness or did the pregnancy loss occur on the background of illness. The intervals between exposure and outcomes also needs to be considered. These were not addressed.

There was a lack of detail in the definitions of stillbirth and miscarriage. The lack of detail on gestation of loss, definitions, and cause or suspected cause of loss is problematic as different causes are likely to have different associations with maternal disease. The authors state “ Stillbirth and miscarriage are pregnancy losses occurring at different gestational ages and it has been hypothesised that they may share an underlying aetiology related to placental malformation, thrombotic and vascular changes.”.

This may be true for proportion of, mainly later miscarriages, and some stillbirths. However, early miscarriages are more likely to have other causes (for example chromosomal abnormality) and numerically these are by far the most common type of loss.

Absolute rates/risk reduction and numbers were not included. This makes interpretation difficult.

As the statistical reviewers additional analyses showed - there is enormous variation in rate of IHD in non-stillbirth arm. This may relate to follow up time or other differences - but it does raise questions on the rationale for combining these data. The other additional analyses by the reviewer suggest that the evidence base is not strong.

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Suggest reporting statistical information as detailed above – see under ABSTRACT

p. 5: “The following electronic databases were searched from inception to May 2022 to identify studies

exploring the effects of fetal loss on subsequent maternal morbidity and mortality” – Please include the name of the databases included in your study.

p.8: Please correct “The included 32 cohort studies […]”.

p.8.: Under “Study Characteristics” you write that of 25 case control studies two were retrospective cross-sectional studies. This would mean that your review included 57 studies in total. Please re-phrase the sentence if you want to describe the retrospective cross-sectional studies as a distinct set of studies.

p.9: Please define “across Europe.”.

p.9: Due to repetition, please re-phrase “The mean maternal age at the time of fetal loss was on average 23 years at the time of loss (Pell et al., 2004) […]”. Editorial suggestion: “The mean maternal age was on average 23 years at the time of fetal loss (Pell et al., 2004) […]”.

p.9: Please write “Table 1”/“Figure 1” instead of “table 1”/”figure 1” and check throughout your manuscript.

p.9: “There were 29 studies looking at women experiencing a stillbirth with most being as low risk of bias, with only one older study identified as being at high risk of bias”. – change “as low risk” to “at low risk”.

p.9: Please elaborate/clarify whether the bias identified could be attributed to the study 'vintage' or refer to “only one study...” instead of “only one older study”.

p.9: Please change “[…] went on to have IHD, […]” to “[…] developed IHD, […]”.

p.10: “Similarly, recurrent loss compared with a single loss resulted in a pooled estimate 1.13 (95%

CI: 0.89-1.44, I2 = 71%)”. – change “in a pooled estimate 1.13” to “in a pooled estimate of 1.13”.

p.11: “The pooled risk ratio […]” – once introduced as abbreviations, please ensure consistency in the use of these (e.g., RR for risk ratio). Please check your manuscript carefully for this.

p.11: Under “Malignant disease”, please split the first sentence into two separate sentences starting the second one with “Data were extracted from all studies but Goldacre et al […]” and explain why the study of Goldacre et al was not included in your analysis.

p.12: “[…], while cervical malignancy risk was assessed one paper (Mikkelsen et al., 2019).” – change to “[…], while cervical malignancy risk was assessed in one paper (Mikkelsen et al., 2019).”

p.13: Under “Malignant disease”, please check grammar and syntax of the last sentence/paragraph starting with “Three studies combined to assess [..]”.

p.14: “Future risk of long term depression, anxiety, stress and alcohol dependence were assessed after pregnancy loss in five studies of women with a history of miscarriage […] and in six studies in women with a history of stillbirth [..] respectively” – please change “long term” to “long-term” and remove “respectively”.

DISCUSSION

Please avoid assertions of primacy ("We report for the first time....").

Please present and organize the Discussion as follows: a short, clear summary of the article's findings; what the study adds to existing research and where and why the results may differ from previous research; strengths and limitations of the study; implications and next steps for research, clinical practice, and/or public policy; one-paragraph conclusion.

p.15: “Our results suggest that women experiencing stillbirth have an increased risk of developing ischaemic heart disease and cerebrovascular disease by 74 and 71% respectively” – please ensure to add units when necessary and check carefully throughout your manuscript.

p.16: “However, other risk factors such as such as hyperlipidaemia, hyperglycaemia, […]” – please remove the duplicate “such as”.

FIGURES

Please provide titles and legends for all figures (including those in Supporting Information files).

For all Figures, please ensure that you have complied with our figures requirements http://journals.plos.org/plosmedicine/s/figures.

Please consider avoiding the use of red and green in order to make your figure more accessible to those with colour blindness.

Please ensure to define abbreviations used in your figures and tables.

REFERENCES

PLOS uses the numbered citation (citation-sequence) method and first six authors, et al.

Comments from the reviewers:

Reviewer #1: The authors conducted a systematic review and meta-analysis of 56 studies on the association between pregnancy loss and long-term maternal morbidity and mortality. The authors found that women with a history of stillbirth increased risk of ischaemic heart disease, cerebrovascular disease, and renal disease compared with no stillbirth. Additionally, women with a history of stillbirth had a lower risk of breast cancer. The review is comprehensive, well-structured, and the conclusions are supported by the evidence. The article has already been revised once (I was not consulted at the initial revision).

There seem to be 2 issues in this paper:

-Definition of exposure - stillbirth bs miscarriage are not adequately defined in the methods or elsewhere. The definition provided in the introduction is not necessarily the one that will be used by many of the studies reviewed.

-Potential for confounding (stillbirth may be secondary to underlying morbidity).

Introduction

-the authors give the definition of stillbirth from the WHO. However, most countries in this review will likely be from high income regions where the definition of stillbirth differs. In Canada, we use 20 weeks as the cutoff, same for the US.

Methods:

* Search Strategy (page 5): Provide a detailed search strategy that is transparent and repeatable, including the names of the databases searched, key words, search terms (both free-text and controlled vocabulary terms). Additionally, as the search was up to May 2022. This seems far back and could be updated to a more recent end date.

* Study selection (page 5): Consider providing the inclusion criteria.

* Data extraction (page 6): As the included studies were observational, it should be possible to extract the confounding factors for each study as well as the adjusted hazards ratios or risk ratios.

* Exposure (page 6): Miscarriage or stillbirth should be clearly defined, including gestational age cut-off.

* Outcomes (page 6): The outcomes could be better justified and organized. For example, "ischaemic heart disease (IHD), cerebrovascular disease, overall circulatory disease" - how about other cardiovascular diseases such as heart failure? What diseases were included in overall circulatory disease?

* Statistical analysis (page 6): Describe the statistical analysis method used for calculating a summary measure of effect size in a meta-analysis, such as the Mantel Haenszel, Peto, or other method.

* As the included studies were observational, the authors could pool the adjusted hazards ratios or adjusted risk ratios adjusted for confounding factors, rather than crude risk ratios only. This would help as stillbirth may simply be a marker of underlying morbidity which is the cause of future diseases.

Results

-Is there a way to make the text more legible -page 8 is very hard to read.

-hard to interpret the findings without the definition of the exposure

Discussion

-Lots of potential for confounding due to unmeasured characteristics of women, especially comorbidity such as preeclampsia. This issue could receive better treatment in the discussion, and possibly even in the methods (produce adjusted pooled estimates).

Reviewer #2: See attachment

Michael Dewey

Reviewer #3: Thank you for the opportunity to review this interesting paper. The topic is important and the authors have gone to very considerable effort to consolidate and synthesise knowledge on this relatively overlooked area of research. I have a number of comments which may warrant consideration, particularly relating to the level of detail provided in the Methods section and how the Results are communicated.

Abstract:

Within the Methods of the Abstract, need to change "malignant" to "malignancy"

Within Results section of the Abstract, it may be easier - or more intuitive - to present the results in the sequence of cardio/cerebro-vascular disease, renal disease, malignancy (results of which are counter-intuitive) and mental illness.

Introduction:

Third paragraph is a little difficult to read. I think this could be phrased more convincingly, the rationale needs to be somewhat stronger.

Methods:

In general, the Methods section is lacking in detail. Some of this may be due to word count consideration or the prior publication of a protocol on PROSPERO, but in its present state the Methods section does not provide sufficient detail for meaningful interpretation of the Results.

The authors state that the grey literature was searched "by manually screening the reference list of papers included in the review and reviewing the reference list of related published systematic reviews". I am not convinced that this approach would provide a comprehensive overview of relevant grey literature and I would suggest rephrasing here. To my mind, this might add a very limited number of studies or technical reports which have not been peer reviewed, and which happen to have been cited by others previously. But it is unlikely to provide a broad, comprehensive scoping overview of the grey literature.

There is insufficient detail given on what outcomes the authors sought, and how these were ascertained. For example, in terms of neoplastic outcomes, were benign tumours included? If so, were diagnoses of benign tumours potentially included within the same meta-analyses as mortality from metastatic cancer? (And if so, this would likely introduce an unacceptable degree of clinical diversity in to meta-analyses) How were decisions taken to differentiate outcome measures? Within the Results section it becomes more apparent that the authors focused particularly on breast, ovarian, endometrial and cervical cancer, but this is not clear from the Methods.

Further detail is required on methods of outcome ascertainment. Did the authors accept any self-reported diagnosis of an outcome, or was a doctor's diagnosis or laboratory/histological confirmation required? Or did they rely on ICD/DSM coding of relevant diagnoses? This detail is required for comparison with any future studies. If multiple methods of outcome ascertainment were accepted, ideally subgroup analyses might be conducted with this differentiation in mind.

There is insufficient detail provided on the eligibility of included studies on the basis of their inherent design (i.e. case control, cross-sectional, cohort). There is also insufficient detail provided on how pre-existing morbidity was considered in term of eligibility and/or subsequent analysis. For example, what did the authors accept as adjusted effect estimates from individual studies - was this based on a pre-determined minimal suite of essential confounders, or just based on the study's own definition of adjustment?

In Figure 1 (flow diagram) it states that 18 papers were not attainable, and were thus excluded. I would expect some detail in the Methods section regarding the steps taken to try to ensure that all eligible papers were retrieved. Perhaps this was done - but the detail is not provided here.

Results:

In Figure 1 it is stated that there were 1080 "additional records identified through other sources". I am not clear on what is meant by this. Are these all from reference lists of other articles? This seems like a very large number of articles to add to the flow diagram without a full explanation for their source.

The second paragraph of Results section is problematic for a few reasons:

"The mean maternal age at the time of fetal loss was on average 23 years at the time of loss (Pell et al., 2004) and 69 years (Parker et al., 2014) at the time of outcome measure." Firstly, the study by Pell et al. (2004) is not within the list of References. Secondly, it is unclear from this sentence how these references should be applied here? Is the mean maternal age at the time of fetal loss not based on the entire pooled cohort of affected women across all eligible studies, and likewise for the age of outcome measure? If so, why would only one reference apply for each of these points? Moreover, the next sentence states "The mean follow-up period for outcome assessment for the miscarriage cohort was 16.9 while for stillbirth this was 16.4 years." If this is true, then one would imagine that the mean age at outcome measurement would be approximately 16-17 years after their most recent fetal loss (but perhaps not exactly so, depending on which studies reported this data). Based on this rationale, one might expect that women were, on average, aged 52-53 years at their most recent fetal loss (i.e. 69-16 = age 53 years) according to the description provided. Presumably this is incorrect. Maybe I have misinterpreted what the authors are trying to communicate here - but if so, I think there is scope for others to misinterpret this too. I think the phrasing needs to be improved throughout this paragraph.

Outcomes:

It is difficult to know how to interpret some of these findings without further detail on how the authors dealt with the issue of pre-existing maternal morbidity. Were all analyses based on women who had no prior diagnosis of the outcome in question (e.g. for IHD, were all women with pre-existing cardiovascular disease excluded at baseline? What about major risk factors for IHD e.g. pre-existing chronic hypertension?)

I think some subgroup analysis is required for some of the key results. For example, in figure 2ai, the largest studies all appear to show a statistically significant association between miscarriage and IHD, but there are multiple smaller studies which do not. The forest plot suggests a modest, but non-significant association overall, and the authors present this as a null association. I am unsure about this interpretation. Could it be an issue related to methodological diversity between included studies in the meta-analysis (based on sample size, or study design)? A similar issue arises for figure 2bi where the largest studies of miscarriage and stroke all appear to show a statistically significant association (perhaps based on greater statistical power?) but multiple smaller studies show a null association, and this is also what the forest plot concludes. I think subgroup analysis could help to explain whether true associations might exist or not.

Minor point, on page 12 the sentence "Moreover, endometrial (Mikkelsen et al., 2019) (Xu et al., 2004) and ovarian (Mikkelsen et al., 2019) malignancy risk was examined in two and one studies respectively, while cervical malignancy risk was assessed one paper (Mikkelsen et al., 2019)." appears twice.

The findings for Mikkelsen 2019 are counter-intuitive and seem to heavily influence the results of the meta-analysis of stillbirth and breast cancer (which feature prominently, including in the Abstract) and which is ultimately based on a small number of included studies (n=3). From a quick look at the original analysis by Mikkelsen et al. 2019, their main analysis reported a null association between stillbirth and breast cancer (rather than a seemingly protective effect). Perhaps the authors chose to compare number of outcomes among parous women only - and if so that's fine. But it would be helpful to state whether this approach was consistently applied across all studies (if so, this needs to be clearer in the Methods section). When the authors use the term "controls", do they mean parous women who never experienced pregnancy loss? Or do they mean all women (including those who were never pregnant) who have never experienced pregnancy loss? This distinction is important for the interpretation of the Mikkelsen 2019 data. I would also suggest making it clear that this result is based on a small number of studies and is very much dominated by the authors' interpretation of the data presented by Mikkelsen et al., otherwise there may be scope for misinterpretation of the clinical relevance of this.

Regarding mental health outcomes, these results are also difficult to interpret without some detail on outcome ascertainment and definitions of various outcomes (e.g. depression). Clearly, the meta-analysis findings are approaching statistical significance and thus should be interpreted with some caution. Again, is there scope for some subgroup analysis to aid interpretation here?

Discussion:

Several of the aforementioned points need to be addressed either within the body of the manuscript or within a much more lengthy section on Limitations.

The comparison of findings between this manuscript and the previous systematic review by Oliver-Williams et al. requires further elaboration. Are there other methodological differences which existed between these two systematic reviews?

It would be helpful to have some further discussion on what the authors believe to be the implications of their findings, including consideration of the absolute risks to affected women if associations herein are true. Miscarriage is considerably more prevalent than stillbirth, and thus associations between stillbirth and maternal morbidity may be important in relative terms, but less concerning in absolute terms compared to even modest associations between miscarriage and maternal outcome measures.

Any attachments provided with reviews can be seen via the following link:

[LINK]

Attachment

Submitted filename: vlachou.pdf

Decision Letter 2

Alexandra Schaefer

24 Nov 2023

Dear Dr. Daru,

Thank you very much for re-submitting your manuscript "Fetal loss and long-term maternal morbidity and mortality; a systematic review and meta-analysis." (PMEDICINE-D-23-00438R2) for review by PLOS Medicine.

Thank you for addressing the comments from the editors and reviewers in detail. I have discussed the paper with my colleagues and the academic editor, and it has also been seen again by three of the original reviewers. The changes made to the paper were mostly satisfactory to the reviewers, and there is a list of remaining comments of an editorial nature. As such, we intend to accept the paper for publication, pending your attention to the detailed comments below in one further revision. When submitting your revised paper, please include once again a detailed point-by-point response to the editorial comments.

The remaining issues that need to be addressed are listed at the end of this email. Any accompanying reviewer attachments can be seen via the link below. Please take these into account before resubmitting your manuscript:

[LINK]

***Please note while forming your response, if your article is accepted, you may have the opportunity to make the peer review history publicly available. The record will include editor decision letters (with reviews) and your responses to reviewer comments. If eligible, we will contact you to opt in or out.***

In revising the manuscript for further consideration here, please ensure you address the specific points made by each reviewer and the editors. In your rebuttal letter you should indicate your response to the reviewers' and editors' comments and the changes you have made in the manuscript. Please submit a clean version of the paper as the main article file. A version with changes marked must also be uploaded as a marked up manuscript file.

Please also check the guidelines for revised papers at http://journals.plos.org/plosmedicine/s/revising-your-manuscript for any that apply to your paper. If you haven't already, we ask that you provide a short, non-technical Author Summary of your research to make findings accessible to a wide audience that includes both scientists and non-scientists. The Author Summary should immediately follow the Abstract in your revised manuscript. This text is subject to editorial change and should be distinct from the scientific abstract.

We expect to receive your revised manuscript within 1 week. Please email me (aschaefer@plos.org) if you have any questions or concerns.

We ask every co-author listed on the manuscript to fill in a contributing author statement. If any of the co-authors have not filled in the statement, we will remind them to do so when the paper is revised. If all statements are not completed in a timely fashion this could hold up the re-review process. Should there be a problem getting one of your co-authors to fill in a statement we will be in contact. YOU MUST NOT ADD OR REMOVE AUTHORS UNLESS YOU HAVE ALERTED THE EDITOR HANDLING THE MANUSCRIPT TO THE CHANGE AND THEY SPECIFICALLY HAVE AGREED TO IT.

Please ensure that the paper adheres to the PLOS Data Availability Policy (see http://journals.plos.org/plosmedicine/s/data-availability), which requires that all data underlying the study's findings be provided in a repository or as Supporting Information. For data residing with a third party, authors are required to provide instructions with contact information for obtaining the data. PLOS journals do not allow statements supported by "data not shown" or "unpublished results." For such statements, authors must provide supporting data or cite public sources that include it.

To enhance the reproducibility of your results, we recommend that you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. Additionally, PLOS ONE offers an option to publish peer-reviewed clinical study protocols. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript.

Please note, when your manuscript is accepted, an uncorrected proof of your manuscript will be published online ahead of the final version, unless you've already opted out via the online submission form. If, for any reason, you do not want an earlier version of your manuscript published online or are unsure if you have already indicated as such, please let the journal staff know immediately at plosmedicine@plos.org.

If you have any questions in the meantime, please contact me (aschaefer@plos.org) or the journal staff on plosmedicine@plos.org.  

We look forward to receiving the revised manuscript by Dec 01 2023 11:59PM.   

Sincerely,

Alexandra Schaefer, PhD

Associate Editor 

PLOS Medicine

plosmedicine.org

------------------------------------------------------------

Requests from Editors:

ACADEMIC EDITOR COMMENTS

The authors have tried to address the issues as well as they can - however, I agree with the reviewer that the conclusions remain overstated, given the limitations of the study (albeit that limitations are now discussed more fully).

EDITORIAL COMMENTS

1) In line with the comments made by the Academic Editor and Reviewer #1, we suggest toning down the conclusions throughout the paper.

2) Similarly, in line with Reviewer #1 comments, we feel that that the influence of comorbidity should be better discussed/disentangled, particularly with regard to the potential for gestational diabetes and preeclampsia, both of which predispose to both stillbirth and CVD. We agree that this merits additional discussion in the paper regarding these potentially explanatory pathways with respect to CVD outcomes.

3) We concur with the statistical reviewer's suggestion to include prediction intervals alongside confidence intervals in the manuscript. Kindly integrate prediction intervals into your analysis.

4) The studies included are all observational – please state this in the abstract (also see comment 1) under ABSTRACT).

5) In the title, please exchange the semicolon with a colon.

6) Regarding presentation style (e.g., Abstract ‘Findings section’ or Discussion), we ask that you not write, e.g., “...had a 56% greater risk (RR 1.56 …); “had a greater risk (RR 1.56 …” is our preferred style. Similarly, phrases like “we were unable to show” should be exchanged with “there was no evidence of increased risk” or similar.

7) When revising your manuscript, please check carefully for punctuation.

ABSTRACT

1) Thank you for explaining that details about the types of study designs included, and synthesis/appraisal methods are stated within the Methods sections. Please also include these details in the Abstract.

2) Please combine the Methods section and Findings section into one Methods and Findings section.

3) l.51: Please fix “p<001”.

4) l.57: Please include square/box brackets for the CI values.

5) In the last sentence of the Abstract Methods and Findings section, please describe the main limitation(s) of the study's methodology.

AUTHOR SUMMARY

1) Thank you for providing an Author Summary. Unfortunately, the current Author Summary does not conform to our requirements. The summary should include 2-3 individual bullet points (single sentences for each) under each of the questions (Why Was This Study Done?; What Did the Researchers Do and Find?; What Do These Findings Mean?). In the final bullet point of ‘What Do These Findings Mean?’, please describe the main limitations of the study in non-technical language.

Please see our author guidelines for more information: https://journals.plos.org/plosmedicine/s/revising-your-manuscript#loc-author-summary.

It may be helpful to review currently published articles for examples which can be found on our website here https://journals.plos.org/plosmedicine/

INTRODUCTION

1) l.81: Please define ‘ICD’ at first use.

2) l.86: The first quotation marks are missing, please add.

3) l.89: “Stillbirth is reported in more than 2,500,000 women annually.” – please add a reference.

4) ll.180-182: This sentence currently reads as if North America and Europe are high-income countries. Please re-phrase (e.g., ‘high-income regions/countries...’).

5) l.189: “(37/59)” – please change to, e.g. (n=37 out of 59) or (n=37).

6) Table 1: In the column ‘Duration of follow-up’, some numbers do not have units (years?, months?) – please revise.

7) Table 1: In the ‘Result’ column in brackets, one definition next to RR, OR etc. seems to be missing. For example, for the study of Andalib et al. (2006), Iran, the results seem to be presented as “n ± SD”.

8) Table 1: Please ensure that for all numbers in the ‘Result’ column it is evident what the numbers are (RR, OR etc.). For example, for Bergant et al. (1997), Austria, it is not clear. Also, when presenting 95% CI values, please ensure to add “95% CI” before the brackets.

9) Table 1 and Table 2: Please note the use of commas to separate upper and lower bounds, as opposed to hyphens as these can be confused with reporting of negative values.

10) Table 1: When stating age, please add a unit (e.g., for Toffol, Koponen, Partonen (a) (2013), Finland).

11) Table 1: Please define TIA.

12) Table 2: Please define HR.

13) Table 2: When presenting 95% CI values, please ensure to add “95% CI” before the brackets.

14) l.241: Is IHD correct here as the section discusses cerebrovascular disease including haemorrhagic and ischaemic stroke?

15) l.271: “[11,31,35]” seems to be misplaced – please revise.

16) l.288: “…without a history, of which 6,381 (2.78%) exposed and 23,514 (3.12%)” – The sentence seems to be incomplete, please revise.

17) l.299: “[20,44,57,60]” seems to be misplaced – please revise the placement of references through the entire main manuscript.

DISCUSSION

1) ll.393-395: Please provide references.

2) Please remove the ‘Conclusion’ subheading. The ‘Conclusion’ paragraph should be the last part of the Discussion section.

FIGURES

1) The Figures are of very low quality, please check.

2) Figure 1: In the ‘Records identified from:’ box, please name the specific databases with the according numbers of records identified.

3) Figure 2: In the Figure description, please add “versus” to “(bii) Cerebrovascular in women with stillbirths no stillbirth”.

4) Figure 2 and Figure 3: Please revise the x-axis labels as it appears that on some graphs ‘Exposure [Increase Risk]’ and ‘Exposure [Decrease Risk]’ are on the wrong side.

5) Figure 2/Figure 3/Figure 4/Figure 5: Please delete the “year” column and only add the year to first column ‘Study or Subgroup’.

SUPPLEMENTARY MATERIALS

1) Please provide the completed PRISMA checklist and the Abstract PRISMA checklist as separate Supporting Information files and do not list them as S Figures.

2) Please ensure that you provide x-axis labels for all graphs (e.g. see S8 Fig (c)).

3) S8 Fig – S17 Fig: Please delete the “year” column and only add the year to first column ‘Study or Subgroup’.

4) Please ensure to define all abbreviations used in your supplementary figures and tables.

REFERENCES

1)Where website addresses are cited, please use ‘accessed’ instead of ‘cited’ when specifying the date of access.

2) Please thoroughly revise all references and ensure that journal name abbreviations match those found in the National Center for Biotechnology Information (NCBI) databases (http://www.ncbi.nlm.nih.gov/nlmcatalog/journals), and are appropriately formatted and capitalised (e.g., for reference [17] American Journal of Obstetrics and Gynecology should be Am J Obstet Gynecol).

SOCIAL MEDIA

To help us extend the reach of your research, please provide any X (formerly known as Twitter) handle(s) that would be appropriate to tag, including your own, your coauthors’, your institution, funder, or lab. Please respond to this email with any handles you wish to be included when we tweet this paper.

Comments from Reviewers:

Reviewer #1: I think that the revised version has improved. I selected "Proceed without recommendation" because I felt the overall conclusion was somewhat overstated. The problem is that it is very well known that gestational diabetes and preeclampsia are strong determinants of CVD. These pregnancy disorders are also strongly associated with stillbirth. Reading the discussion, it felt like not enough emphasis was put on these potential explanatory pathways (guidelines for CVD risk reduction include these two pregnancy conditions, so an argument for including stillbirth seems uncertain). However, the manuscript is also fine in this form if the editors are satisfied with the revision.

Thank you for consulting me.

Reviewer #2: The authors' rebuttal is fine but contains one statement which I find hard to accept.

I recommended also presenting prediction intervals as well as confidence intervals. The authors replied that

"... we want our results to be used in clinical settings showing the degree of uncertainty in our point estimates

rather in research setting where prediction of a subsequent study estimates may be important."

If a group of clinicians reads this review and asks themselves "What would happen here?" then that is exactly the same as asking what would happen in the next study and so for that purpose they need a prediction interval. Knowing the variance of the distribution of true effect sizes is a theoretical interest. So my feeling is that the authors have this the wrong way round.

Michael Dewey

Reviewer #3: I am satisfied that the authors have addressed my queries. Thank you for considering my previous feedback and for the opportunity to review this relevant and timely article.

Any attachments provided with reviews can be seen via the following link:

[LINK]

Decision Letter 3

Alexandra Schaefer

12 Dec 2023

Dear Dr. Daru,

Thank you very much for re-submitting your manuscript "Fetal loss and long-term maternal morbidity and mortality; a systematic review and meta-analysis." (PMEDICINE-D-23-00438R3) for review by PLOS Medicine.

Thank you for addressing the comments of the editors and reviewers in detail. I have discussed the paper with the academic editor, and it has also been reviewed again by the statistical reviewer. The changes made to the paper were satisfactory to the academic editor and the reviewer. However, there are a few inconsistencies in the figure numbering/description that will need to be addressed in one final revision, along with a few other editorial points that are outlined below. When submitting your revised paper, please include a detailed point-by-point response to the editorial comments.

The remaining issues that need to be addressed are listed at the end of this email. Any accompanying reviewer attachments can be seen via the link below. Please take these into account before resubmitting your manuscript:

[LINK]

***Please note while forming your response, if your article is accepted, you may have the opportunity to make the peer review history publicly available. The record will include editor decision letters (with reviews) and your responses to reviewer comments. If eligible, we will contact you to opt in or out.***

In revising the manuscript for further consideration here, please ensure you address the specific points made by each reviewer and the editors. In your rebuttal letter you should indicate your response to the reviewers' and editors' comments and the changes you have made in the manuscript. Please submit a clean version of the paper as the main article file. A version with changes marked must also be uploaded as a marked up manuscript file.

Please also check the guidelines for revised papers at http://journals.plos.org/plosmedicine/s/revising-your-manuscript for any that apply to your paper. If you haven't already, we ask that you provide a short, non-technical Author Summary of your research to make findings accessible to a wide audience that includes both scientists and non-scientists. The Author Summary should immediately follow the Abstract in your revised manuscript. This text is subject to editorial change and should be distinct from the scientific abstract.

We expect to receive your revised manuscript within 1 week. Please email me (aschaefer@plos.org) if you have any questions or concerns.

We ask every co-author listed on the manuscript to fill in a contributing author statement. If any of the co-authors have not filled in the statement, we will remind them to do so when the paper is revised. If all statements are not completed in a timely fashion this could hold up the re-review process. Should there be a problem getting one of your co-authors to fill in a statement we will be in contact. YOU MUST NOT ADD OR REMOVE AUTHORS UNLESS YOU HAVE ALERTED THE EDITOR HANDLING THE MANUSCRIPT TO THE CHANGE AND THEY SPECIFICALLY HAVE AGREED TO IT.

Please ensure that the paper adheres to the PLOS Data Availability Policy (see http://journals.plos.org/plosmedicine/s/data-availability), which requires that all data underlying the study's findings be provided in a repository or as Supporting Information. For data residing with a third party, authors are required to provide instructions with contact information for obtaining the data. PLOS journals do not allow statements supported by "data not shown" or "unpublished results." For such statements, authors must provide supporting data or cite public sources that include it.

To enhance the reproducibility of your results, we recommend that you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. Additionally, PLOS ONE offers an option to publish peer-reviewed clinical study protocols. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript.

Please note, when your manuscript is accepted, an uncorrected proof of your manuscript will be published online ahead of the final version, unless you've already opted out via the online submission form. If, for any reason, you do not want an earlier version of your manuscript published online or are unsure if you have already indicated as such, please let the journal staff know immediately at plosmedicine@plos.org.

If you have any questions in the meantime, please contact me or the journal staff on plosmedicine@plos.org.  

We look forward to receiving the revised manuscript by Dec 19 2023 11:59PM.   

Sincerely,

Alexandra Schaefer, PhD

Associate Editor 

PLOS Medicine

plosmedicine.org

------------------------------------------------------------

Requests from Editors:

1) l.60: Please introduce the abbreviation “DM” before use (in line 48).

2) Author summary: Please re-phrase the first bullet point under ‘Why was this study done?’ and refrain from using evaluative language like ‘devastating’. Editorial suggestion: “…one of the most serious complications…”

3) Author summary: Please remove ‘across all body systems’ from the third bullet point ‘Why was this study done?’.

4) Author summary: Under ‘What do these findings mean?’, please change ‘type 2 diabetes’ to ‘type 2 diabetes mellitus’ (as described throughout the main text) and switch bullet point 2 and 3 so that the main limitation is the final bullet point.

5) l.96: Please note that references should be mentioned in one bracket, e.g. instead of “…before 20 weeks gestation [2] [3]..”, please write “…before 20 weeks gestation [2,3]..”. Please revise throughout the entire main manuscript.

6) l.178: Please introduce the abbreviation ‘PI’ following “…and 95% prediction intervals.”.

7) l.266 and following: You abbreviate type 2 diabetes mellitus from here on as T2DM whereas earlier you used the abbreviation “type 2 DM”. Please use a consistent format; we suggest using T2DM.

8) l.356: Please change to “…in this systematic review.”.

9) ll.393-395: Please provide references for both sentences.

10) The figure numbering, descriptions and the presentation within the manuscript does not match. Please thoroughly revise all of your figures for showing the correct graphs with correct labeling and ensure that the according figure descriptions match. I have included some specific issues in the points below (11-16).

11) Please use standard alphabetical labeling for all figure panels (i.e., a, b, c, etc.).

12) Figure 3: In the figure description, “type 2 diabetes mellitus” should be written in full first before introducing the abbreviation. Please revise.

13) Figure 3/4: In l.323 (“Analysis showed a RR of 1.17, (97% CI [0.95,1.45]; p=0.15 I2 = 0%, 95% PI [1.13, 1.29]) (Fig 4d).”), for example, the sentence refers to Figure 4d which should be Figure 3d. The figure description for Figure 3 lacks a description for 3c and 3d. Also, for Figure 3d, it seems the x-axis labels (“[Increased risk]” and “[Decreased risk]”) need to be the other way around (i.e., women with a previous history of stillbirth had a 1.17 increased risk of all cancer-related mortality).

14) In the Figure description of Figure 4, you use the label “(c)” twice and on the graph itself both graphs do not exist (are these graphs 3c and 3d?). Please thoroughly revise.

15) In the Figure description of Figure 5 you label the different graphs as (ai) and (bi) whereas on the graph itself these are labelled (ai) and (aii). Please revise and see comment #11.

16) Please remove the “year” column from Figure 4 (ai).

17) Please re-name the individual titles of the supplementary figures and table including a “S” (as done in the overview of the Supporting Information). For example, on page 3 “Fig 1: Keyword Strategy” should be “S1 Fig: Keyword Strategy”. Also, S1-S4 Fig should be named tables instead of figures.

18) The figure title/description of S7 Fig in the overview does not match the description above the graphs. It seems S7 and S8 need to be swapped in the overview list.

19) It seems that you skipped “Fig 12” when numbering your supplementary figures and wrongly labelled it “Fig 13” which should be “S12 Fig”. Followingly, “Fig 14” should be “S13 Fig” and so on. Please revise.

Comments from Reviewers:

Reviewer #2: The authors have addressed my remaining point.

Michael Dewey

Any attachments provided with reviews can be seen via the following link:

[LINK]

Decision Letter 4

Alexandra Schaefer

3 Jan 2024

Dear Dr Daru, 

On behalf of my colleagues and the Academic Editor, Sarah Stock, I am pleased to inform you that we have agreed to publish your manuscript "Fetal loss and long-term maternal morbidity and mortality; a systematic review and meta-analysis." (PMEDICINE-D-23-00438R4) in PLOS Medicine.

Thank you for your considered and detailed responses to the comments provided by the editors and reviewers throughout the editorial process. We look forward to publishing your manuscript, and editorially there are only a few remaining minor stylistic/presentation points that should be addressed prior to publication. We will carefully check whether the changes have been made. If you have any questions or concerns regarding these final requests, please feel free to contact me at aschaefer@plos.org.

We noted a few remaining inconsistencies in the figure numbering/description. Please once again thoroughly revise the figure numbering and their mentioning throughout the main body of the manuscript. Some specific issues are outlined below.

1) l.304: “The pooled RR was 1.00 (95% CI [0.94,1.06]; p=0.98 I2 = 0%, 95% PI [0.78,1.57]) (Fig 3c).” – Figure 4c should be mentioned here instead of 3c.

2) ll.314-315: “The pooled risk of the included studies demonstrated a small but significant reduction in the risk of breast cancer (RR: 0.80, 95% CI [0.67,0.96]; p=0.02 I2 = 0%, 95% PI [0.72,0.93]) (Fig 3b).” - Figure 4b should be mentioned here instead of 3b.

3) l.322: “Analysis showed a RR of 1.17, (97% CI [0.95,1.45]; p=0.15 I2 = 0%, 95% PI [1.13, 1.29]) (Fig 3e).” – Figure 4e should be mentioned here instead of 3e.

Before your manuscript can be formally accepted you will need to complete some formatting changes, which you will receive in a follow up email. Please be aware that it may take several days for you to receive this email; during this time no action is required by you. Once you have received these formatting requests, please note that your manuscript will not be scheduled for publication until you have made the required changes.

In the meantime, please log into Editorial Manager at http://www.editorialmanager.com/pmedicine/, click the "Update My Information" link at the top of the page, and update your user information to ensure an efficient production process. 

PRESS

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We also ask that you take this opportunity to read our Embargo Policy regarding the discussion, promotion and media coverage of work that is yet to be published by PLOS. As your manuscript is not yet published, it is bound by the conditions of our Embargo Policy. Please be aware that this policy is in place both to ensure that any press coverage of your article is fully substantiated and to provide a direct link between such coverage and the published work. For full details of our Embargo Policy, please visit http://www.plos.org/about/media-inquiries/embargo-policy/.

To enhance the reproducibility of your results, we recommend that you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. Additionally, PLOS ONE offers an option to publish peer-reviewed clinical study protocols. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols

Thank you again for submitting to PLOS Medicine. We look forward to publishing your paper. 

Sincerely, 

Alexandra Schaefer, PhD 

Associate Editor 

PLOS Medicine

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Appendix. Supporting information.

    Fig A in S1 Appendix: Key Word Strategy. Fig B in S1 Appendix: Quality assessment of cohort studies using Adapted Newcastle Ottawa Scale. Fig C in S1 Appendix: Quality assessment of case-controlled studies using Adapted Newcastle Ottawa Scale. Fig D in S1 Appendix: Quality assessment of cross-sectional studies using Adapted Newcastle Ottawa Scale. Fig E in S1 Appendix: Funnel plots of the association of miscarriage and (a) ischaemic heart disease and (b) breast cancer. Fig F in S1 Appendix: Forrest plots presenting pooled RRs for development of (a) ischaemic heart disease, (b) cerebrovascular disease and (c) circulatory diseases for the miscarriage arm using the Mantel–Haenszel random effects model with dichotomous data in meta-analysis. Fig G in S1 Appendix: Forrest plots presenting pooled RRs for development of (a) type 2 diabetes mellitus and (b) depression for the miscarriage arm using the Mantel–Haenszel random effects model with dichotomous data in meta-analysis. Fig H in S1 Appendix: Forrest plots presenting pooled RRs for development of (a) breast cancer, (b) ovarian cancer, and (c) uterine malignancies for the miscarriage arm using the Mantel–Haenszel random effects model with dichotomous data in meta-analysis. Fig I in S1 Appendix: Forrest plots presenting pooled RRs for development of (a) ischaemic heart disease, (b) cerebrovascular disease, (c) breast cancer, and (d) ovarian cancer for recurrent vs. single miscarriage using the Mantel–Haenszel random effects model with dichotomous data in meta-analysis. Fig J in S1 Appendix: Forrest plots presenting pooled RRs for development of (a) ischaemic heart disease, (b) cerebrovascular disease, and (c) breast cancer for recurrent vs. no miscarriage using the Mantel–Haenszel random effects model with dichotomous data in meta-analysis. Fig K in S1 Appendix: Forrest plots presenting pooled RRs for development of (a) ischaemic heart disease, (b) cerebrovascular disease, (c) breast cancer, and (d) ovarian cancer for recurrent vs. single miscarriage using the Generic inverse variance random effects model meta-analysis. Fig L in S1 Appendix: Forrest plots presenting pooled RRs for development of (a) ischaemic heart disease, (b) cerebrovascular disease, and (c) breast cancer for recurrent vs. no miscarriage using the Generic inverse variance random effects model with dichotomous data in meta-analysis. Fig M in S1 Appendix: Forrest plots presenting pooled RRs for development of (a) ischaemic heart disease, (b) cerebrovascular disease, and (c) circulatory disease for stillbirth arm using the Mantel–Haenszel random effects model with dichotomous data in meta-analysis. Fig N in S1 Appendix: Forrest plots presenting pooled RRs for development of (a) breast cancer, (b) female malignancies, and (c) all malignancies for stillbirth arm using the Mantel–Haenszel random effects model with dichotomous data in meta-analysis. Fig O in S1 Appendix: Forrest plots presenting pooled RRs for development of (a) type 2 diabetes, (b) renal disease, (c) depression for stillbirth arm using the Mantel–Haenszel random effects model with dichotomous data in meta-analysis. Table A in S1 Appendix: Outcome definitions of the miscarriage arm of the meta-analysis. Table B in S1 Appendix: Outcome definitions of the stillbirth arm of the meta-analysis. Table C in S1 Appendix: Covariate/Confounding variables the researchers adjusted for in the studies of miscarriage. Table D in S1 Appendix: Covariate/Confounding variables the researchers adjusted for in the studies of stillbirth.

    (DOCX)

    S1 PRISMA Checklist. PRISMA checklist.

    (DOCX)

    Attachment

    Submitted filename: vlachou.pdf

    Attachment

    Submitted filename: Response to reviewers_2023 August.docx

    Attachment

    Submitted filename: Response letter.docx

    Data Availability Statement

    All relevant data are within the manuscript and its Supporting information files.


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