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PLOS Medicine logoLink to PLOS Medicine
. 2021 Jun 25;18(6):e1003683. doi: 10.1371/journal.pmed.1003683

Separating parental and treatment contributions to perinatal health after fresh and frozen embryo transfer in assisted reproduction: A cohort study with within-sibship analysis

Kjersti Westvik-Johari 1,2,*, Liv Bente Romundstad 3,4, Deborah A Lawlor 5,6,7, Christina Bergh 8, Mika Gissler 9,10, Anna-Karina A Henningsen 11, Siri E Håberg 3, Ulla-Britt Wennerholm 8, Aila Tiitinen 12, Anja Pinborg 11, Signe Opdahl 2
Editor: Gordon C Smith13
PMCID: PMC8274923  PMID: 34170923

Abstract

Background

Compared to naturally conceived children, adverse perinatal outcomes are more common among children born after assisted reproductive technology with fresh embryo transfer (fresh-ET) or frozen embryo transfer (frozen-ET). However, most previous studies could not adequately control for family confounding factors such as subfertility. We compared birth size and duration of pregnancy among infants born after fresh-ET or frozen-ET versus natural conception, using a within-sibship design to account for confounding by maternal factors.

Methods and findings

This registry-based cohort study with nationwide data from Denmark (1994–2014), Norway (1988–2015), and Sweden (1988–2015) consisted of 4,510,790 live-born singletons, 4,414,703 from natural conception, 78,095 from fresh-ET, and 17,990 from frozen-ET. We identified 33,056 offspring sibling groups with the same mother, conceived by at least 2 different conception methods. Outcomes were mean birthweight, small and large for gestational age, mean gestational age, preterm (<37 weeks, versus ≥37), and very preterm birth (<32 weeks, versus ≥32). Singletons born after fresh-ET had lower mean birthweight (−51 g, 95% CI −58 to −45, p < 0.001) and increased odds of small for gestational age (odds ratio [OR] 1.20, 95% CI 1.08 to 1.34, p < 0.001), while those born after frozen-ET had higher mean birthweight (82 g, 95% CI 70 to 94, p < 0.001) and increased odds of large for gestational age (OR 1.84, 95% CI 1.56 to 2.17, p < 0.001), compared to naturally conceived siblings. Conventional population analyses gave similar results. Compared to naturally conceived siblings, mean gestational age was lower after fresh-ET (−1.0 days, 95% CI −1.2 to −0.8, p < 0.001), but not after frozen-ET (0.3 days, 95% CI 0.0 to 0.6, p = 0.028). There were increased odds of preterm birth after fresh-ET (OR 1.27, 95% CI 1.17 to 1.37, p < 0.001), and in most models after frozen-ET, versus naturally conceived siblings, with somewhat stronger associations in population analyses. For very preterm birth, population analyses showed increased odds for both fresh-ET (OR 2.03, 95% CI 1.90 to 2.12, p < 0.001) and frozen-ET (OR 1.66, 95% CI 1.42 to 1.94, p < 0.001) compared with natural conception, but results were notably attenuated within siblings (OR 1.18, 95% CI 1.0 to 1.41, p = 0.059, and OR 0.92, 95% CI 0.67 to 1.27, p = 0.6, for fresh-ET and frozen-ET, respectively). Sensitivity analyses in full siblings, in siblings born within 3-year interval, by birth order, and restricting to single embryo transfers and blastocyst transfers were consistent with the main analyses. Main limitations were high proportions of missing data on maternal body mass index and smoking.

Conclusions

We found that infants conceived by fresh-ET had lower birthweight and increased odds of small for gestational age, and those conceived by frozen-ET had higher birthweight and increased odds of large for gestational age. Conception by either fresh-ET or frozen-ET was associated with increased odds of preterm birth. That these findings were observed within siblings, as well as in conventional multivariable population analyses, reduces the likelihood that they are explained by confounding or selection bias.

Trial registration

ClinicalTrials.gov ISRCTN11780826.


Kjersti Westvik-Johari and co-workers report on perinatal outcomes following fresh and frozen embryo transfer.

Author summary

Why was this study done?

  • Children born after assisted reproductive technology have more adverse perinatal outcomes than naturally conceived children, which differ according to treatment method.

  • It is unknown to what extent these associations result from the fertility treatment or from confounding by underlying maternal or family factors.

What did the researchers do and find?

  • Using health registry data from Denmark, Norway, and Sweden, we compared perinatal health after fresh embryo transfer (fresh-ET) or frozen embryo transfer (frozen-ET) to that after natural conception, in a cohort of 4,606,875 newborns. In addition, we compared siblings conceived by different methods to account for family confounding (n = 33,056 sibling groups).

  • We found that children conceived by frozen-ET have a higher birthweight and higher risk of large for gestational age, whereas children conceived by fresh-ET have a lower birthweight and higher risk of small for gestational, compared to naturally conceived children, both in the population and within siblings.

  • Within sibships, children conceived by fresh-ET and frozen-ET had increased risks of preterm birth (<37 weeks) of similar magnitude, while neither fresh-ET nor frozen-ET was associated with risk of very preterm birth (<32 weeks), despite strong associations for both outcomes in population analyses.

What do these findings mean?

  • Fresh-ET and frozen-ET showed opposite associations with birthweight, but similar associations with preterm birth, after controlling for measured and unmeasured family-level confounding.

  • Both treatments are associated with adverse perinatal outcomes, in comparison to natural conception. Our findings provide important information that can be used by couples and their clinicians in making decisions about which type of ART to undertake.

Introduction

The use of assisted reproductive technology (ART) is increasing worldwide, and children born after ART now comprise more than 7% of births in some countries [14]. The number of children born after fresh embryo transfer (fresh-ET) has increased steadily over 3 decades, and the number of children born after frozen embryo transfer (frozen-ET) has increased sharply during the last decade [1,2,5]. Whilst elective single embryo transfer has reduced multiple pregnancy and adverse outcomes associated with that [5,6], singleton ART newborns still have worse perinatal outcomes compared with naturally conceived newborns [7]. Meta-analyses show lower birthweight, lower gestational age, higher risk of small for gestational age, and higher risk of preterm birth among newborns after fresh-ET compared to naturally conceived newborns [8,9]. In contrast, newborns after frozen-ET have lower risk of small for gestational age and preterm birth compared to newborns after fresh-ET [10,11], but higher mean birthweight and higher risk of large for gestational age compared to naturally conceived newborns [8,1214]. Most previous studies have not adequately controlled for family confounding factors, such as maternal health and socioeconomic position [8,14,15]. Subfertile couples who conceive while awaiting ART treatment have suboptimal perinatal outcomes compared to fertile couples, indicating that parental factors contribute to the adverse events [3]. Without attempts to control for potential family confounding, it is unclear whether these associations are attributable to treatment.

Comparing siblings born after different conception methods offers an alternative approach to conventional multivariable analyses in unrelated children, and may help disentangle the contributions from ART treatment, shared genetics, parental health factors, and confounding from, for example, background family socioeconomic position [16,17]. Four previous studies with a sibling design compared any ART conception with natural conception, and all reported lower birthweight and shorter gestational duration in infants conceived by ART, though for some outcomes, wide confidence intervals included the null [1821]. A Danish study could differentiate between fresh and frozen transfer and found lower birthweight and shorter gestation for fresh-ET compared to naturally conceived siblings (3,879 sibling pairs) and higher birthweight for frozen-ET compared to fresh-ET siblings (358 sibling pairs) [22,23]. An American study included only children conceived after ART and found that children conceived by frozen-ET had higher birthweights and higher risk of large for gestational age than their fresh-ET siblings (3,681 pairs) [22]. None of the previous studies compared children conceived by frozen-ET to naturally conceived siblings, which is a necessary comparison to understand whether the higher birthweights and increased risk of large for gestational age associated with frozen-ET simply reflect the observed lower birthweight for fresh-ET compared with natural conception.

The aim of this study was to determine the associations of fresh-ET and frozen-ET, compared to natural conception, with birth size and duration of pregnancy. We used nationwide data from 3 countries that provided a sufficiently large sample size to precisely estimate associations using a within-sibship design. The within-sibship analysis assumes that most confounders are at the family level and that there is very little individual-level confounding. Specifically, in this study we assume that in the within-sibship analyses we can control for unmeasured confounding by shared family factors, such as socioeconomic position, underlying maternal health, and health behaviors [16,17,24].

Methods

Data sources

This cohort study is based on the Committee of Nordic Assisted Reproductive Technology and Safety (CoNARTaS) cohort [5], which includes data on all births registered in the nationwide medical birth registries in Denmark (1994–2014), Norway (1984–2015), and Sweden (1985–2015). Children born after ART were identified through data linkage with the national ART registries and databases, using the unique national identity number assigned to each resident. The registration of ART pregnancies was initiated at different times in each country. In Denmark, all ART cycles from both public and private clinics have been registered in the national ART registry since 1994, resulting in almost 100% completeness [25]. Since 1984, Norwegian public and private ART clinics send notifications to the Medical Birth Registry for all ART cycles that result in pregnancy verified by ultrasound in gestational week 6–7. In Sweden, deliveries after ART were reported to the National Board of Health and Welfare from 1982 to 2006. Since 2007, all ART cycles in Sweden are reported to the National Quality Registry for Assisted Reproduction.

Exposures, outcomes, and covariates

Exposures were ART conception with fresh-ET or frozen-ET versus natural conception (the reference group). Fresh-ET and frozen-ET were defined based on treatment entries in the ART registries/databases. Frozen-ET included both first embryo transfer (i.e., when a “freeze-all” treatment was undertaken) as well as those with a subsequent transfer after an initial fresh transfer. Natural conceptions were defined based on any registered pregnancy with no registration of ART conception.

We defined perinatal health outcomes as birth size (birthweight, small for gestational age, and large for gestational age) and duration of pregnancy (gestational age at birth, preterm birth, and very preterm birth). Birthweight was measured in grams. We used Marsal’s equations for intrauterine growth to estimate z-scores of birthweights, where 1 standard deviation was set to 11% of the expected birthweight according to sex and gestational age [26]. Small for gestational age was defined as birthweight < −2 standard deviations, and large for gestational age was defined as birthweight > +2 standard deviations from expected mean birthweight. For natural conceptions, gestational age was reported in days and estimated by routine ultrasound examination, performed in week 18–20 of pregnancy in Norway and Sweden, and in late first trimester in Denmark. If this information was missing, the date of last menstrual period was used to calculate gestational age. For ART pregnancies, gestational age was estimated based on embryo transfer in Sweden, while in Norway and Denmark the first trimester (Denmark) or week 18–20 (Norway) ultrasound screening was used, and only if this was missing was the date of embryo transfer used. Preterm birth was defined as birth before 37 weeks of gestation, versus at ≥37 weeks, and very preterm birth as birth before 32 weeks of gestation. Maternal and paternal identity codes were recorded in the medical birth registries, with paternal identity available for 98% of newborns. For our main analyses, we identified siblings as children with the same mother from the maternal identity code. In sensitivity analyses, we repeated analyses using full siblings (same mother and father) identified using the maternal and paternal identity codes.

Potential confounders were defined as any factor that could plausibly influence the need for ART, birthweight, or gestational age; these were identified based on previous literature. We adjusted for the following observed confounders: country, year of birth, and maternal age, parity, BMI, height, and smoking. Maternal BMI was calculated as weight in kilograms divided by height in square meters, based on pre-pregnancy or first trimester values and categorized as underweight (<18.5 kg/m2), normal (18.5–24.9 kg/m2), overweight (25.0–29.9 kg/m2), and obese (≥30.0 kg/m2). Further, we categorized maternal height (<150, 150–159, 160–169, 170–179, or ≥180 cm), smoking (yes or no, where yes was any smoking during pregnancy), and parity (number of previous deliveries: 0, 1, 2, or 3). Maternal age and offspring year of birth were used as continuous variables. Smoking was registered throughout the study period in Denmark and Sweden and since 1999 in Norway. Maternal height and weight were registered in 1988–1989 and 1992–2015 in Sweden, with substantial missing data in the early years. In Denmark and Norway, registration of maternal height and weight was implemented from 2004 and 2007, respectively, also with substantial missing data during the first years of registration. In addition to these observed confounders, we considered parental socioeconomic position to be a key confounder, but we did not have data on individual income or education. However, the sibship analysis approach controls for this family-level confounding on the assumption that parental socioeconomic position is likely to be very similar between siblings.

Study population

Fig 1 shows the flow of participants into the main analysis and sensitivity analysis datasets. We defined our study period as being from 1988, when the first child born after embryo cryopreservation was registered in our data (from 1994 for Denmark, as data were not available until then), until 2014 (Denmark) and 2015 (Norway and Sweden). Eligibility was defined as live-born singletons whose mothers delivered their first child within the study period and were age 20 years or older at their first delivery (4,617,121 infants with 2,390,386 mothers). These criteria ensured comparability of maternal age between ART and natural conceptions while maximizing the number of sibling groups in the analysis sample. We excluded all singletons with unknown parity in pregnancies after the first birth, maternal age ≥ 45 years, and parity ≥ 4, as there were very few ART births to mothers with 4 or more deliveries. We further excluded singletons with unknown conception method, gestational age, or birthweight, as well as singletons with extreme values of gestational age (<22 weeks or >44 weeks) and birthweight (>6,500 g, <300 g, or >6 SD). After these exclusions, our main sample 1 (largest sample, with lowest risk of selection bias) comprised 4,510,790 infants with 2,379,702 mothers, where 78,095 were born from fresh-ET and 17,990 were born from frozen-ET. In this sample there were 33,056 sibling groups with at least 2 of the 3 different conception methods, including 24,368 sibling groups with both fresh-ET and natural conception and 4,689 sibling groups with both frozen-ET and natural conception. For main sample 2 (smallest sample, with maximum confounder adjustment), we restricted main sample 1 to deliveries with complete data on maternal BMI and smoking (58% of main sample 1). Corresponding numbers for main sample 2 were 2,615,624 infants with 1,633,019 mothers, including 53,059 born after fresh-ET and 14,326 born after frozen-ET. In main sample 2, there were 20,227 sibling groups with at least 2 of the 3 conception methods, including 13,869 sibling groups with both fresh-ET and natural conception and 3,168 sibling groups with both frozen-ET and natural conception. To explore whether the results were driven by specific subgroups or whether the associations were influenced by which conception method occurred first, we identified each mother’s 2 first consecutive deliveries and categorized them by order of conception method. In main sample 2, this gave a total of 698,990 offspring sibling groups that belonged to 1 of 9 possible sibling combinations.

Fig 1. Flow chart of the study population.

Fig 1

If not otherwise specified, sibling groups refer to maternal offspring siblings conceived through at least 2 of the 3 different conception methods. Fresh-ET, fresh embryo transfer; Frozen-ET, frozen embryo transfer; gest, gestational.

Statistical analysis

We used multilevel linear and logistic models to compare outcomes across conception methods with children as one level and mothers as another. We used random effects models for conventional population estimates and fixed effects models for sibship comparisons (i.e., comparisons within sibships). Precision was estimated by 95% confidence intervals (CIs). To increase interpretability of the odds ratios (ORs), we used post-estimation commands to obtain absolute risks and risk differences. The within-sibling estimates were based on siblings who were discordant for conception method. Population estimates in main sample 1 were adjusted for year of birth, country, maternal age, and parity. In main sample 2 we additionally adjusted for height, pre-pregnancy or first trimester BMI, and smoking status during pregnancy. The sibling comparisons were adjusted for the same covariates except country and height, which are stable within mothers.

We performed several sensitivity analyses to test the robustness of our findings (Fig 1). First, we explored the importance of constant paternal factors by repeating analyses on full siblings only (same mother and father). Second, we restricted analyses to siblings born within a 3-year interval as both family background and health are likely to be more constant among siblings born within a short timeframe. Third, we restricted the population-level analyses to siblings (excluding all infants where the mother had only 1 child in the sample). This enabled us to explore whether any differences between population and sibling results might be driven by families with only 1 child being different to those with 2 or more. Finally, we restricted the ART population to single embryo transfers and to blastocyst transfers (i.e., culture duration 5–6 days) to account for changes in practice over the study period that could potentially influence our results [5,27,28]. Single, compared with double, embryo transfer is associated with higher [29] and eliminates vanishing twin syndrome, which may also influence birthweight and gestational duration [30]. Blastocysts are exposed to culture medium and other in vitro conditions for a longer period than cleavage stage embryos (5–6 versus 2–3 days), and this may also influence fetal growth and gestational duration.

This study is reported as per the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guideline (S1 STROBE Checklist). Our analyses were planned in advance of the research team accessing any data, and our study protocol is provided (S1 Study Protocol). The CoNARTaS project is also registered in the ISRCTN registry (ISRCTN11780826).

Ethical approval

In Denmark, ethical approval is not required for scientific projects based solely on registry data. In Norway, ethical approval was given by the Regional Committee for Medical and Health Research Ethics (REK-Nord, 2010/1909). In Sweden approval was obtained from the ethical committee in Gothenburg (Dnr214-12, T422-12, T516-15, T233-16, T300-17, T1144-17, and T121-18).

Patient and public involvement

This study was a secondary data analysis and was done without patient involvement. Patients were not involved in setting the research question or the outcome measures, nor were they involved in developing plans for the design or implementation of the study.

Results

Baseline characteristics

Mothers who conceived by ART were older and more commonly primiparous than mothers of naturally conceived children (Table 1). While the naturally conceived children were evenly distributed through the study period, more than 80% of ART children were born after 2002. Mean maternal height and BMI were comparable between all conception groups. Fewer ART mothers were underweight and obese, but there was a higher proportion in the overweight category. Among children born after fresh-ET, about 42% of the children were conceived by intracytoplasmic sperm injection, 47.4% were born after single embryo transfer, and only 5.7% were born after blastocyst transfer. Similar proportions were found in children born after frozen-ET, with 40.2% conceived by intracytoplasmic sperm injection, 64.4% born after single embryo transfer, though 20.8% born after blastocyst transfer.

Table 1. Characteristics of the 4,510,790 live-born singletons in main sample 1.

Characteristic Natural conception Fresh embryo transfer Frozen embryo transfer
n or mean Percent or SD n or mean Percent or SD n or mean Percent or SD
Participants (n, %) 4,414,703 97.9 78,095 1.7 17,990 0.4
Country (n, %)
Denmark 977,754 22.2 25,041 32.1 3,347 18.6
Norway 1,193,617 27.0 16,551 21.2 3,283 18.3
Sweden 2,243,334 50.8 36,503 46.7 11,360 63.2
Birth year (n, %)
1988–1996 1,020,394 23.1 5,762 7.4 494 2.8
1997–2001 806,469 18.3 11,190 14.3 1,098 6.1
2002–2006 909,995 20.6 17,727 22.7 2,541 14.1
2007–2011 965,027 21.9 24,346 31.2 6,499 36.1
2012–2015 712,820 16.2 19,070 24.4 7,358 40.1
Parity (n, %)
0 2,258,213 51.2 58,739 75.2 10,413 57.9
1 1,585,604 35.9 16,977 21.7 6,539 36.5
2 476,823 10.8 2,039 2.6 920 5.1
3 94,065 2.1 340 0.4 118 0.7
Maternal age, in years (mean, SD) 29.6 4.8 33.8 4.2 34.3 4.1
Sex (n, %)
Boys 2,269,179 51.4 39,914 51.1 9,200 51.1
Girls 2,145,526 48.6 38,181 48.9 8,790 48.9
Smoking
Yes 447,967 10.2 4,040 5.2 540 3.0
Missing (%) 15.4 9.4 6.1
Maternal height, in cm (mean, SD) 166.8 6.3 167.7 6.4 167.5 6.5
Missing (%) 35.5 27.9 2.8
Maternal BMI, in kg/m2 (mean, SD) 24.2 4.5 24.2 4.1 24.2 4.0
Missing (%) 41.0 30.8 19.3
Maternal BMI, in kg/m2 (n, %)
<18.5 80,471 3.2 1,256 2.4 310 2.2
18.5–24.9 1,627,235 63.9 33,733 63.6 9,096 63.5
25.0–29.9 575,551 22.6 12,938 28.8 3,541 24.7
≥30.0 264,982 10.4 5,133 9.7 1,379 9.6
Fertilization method (n, %)
IVF 44,474 58.0 9,818 59.8
ICSI 32,164 42.0 6,597 40.2
Embryos transferred (n, %)
1 36,992 47.4 11,577 64.4
2 29,915 38.3 4,197 23.3
3 1,880 2.4 128 0.7
Unknown 9,308 11.9 2,088 11.6
Embryo culture duration, in days (n, %)
2–3 61,654 79.0 11,695 65.0
5–6 4,437 5.7 3,748 20.8
Unknown 12,004 15.4 2,547 14.2

BMI, body mass index; ICSI, intracytoplasmic sperm injection; IVF, in vitro fertilization; SD, standard deviation.

Birthweight

In population analyses in both samples, children from fresh-ET were on average lighter, and those born after frozen-ET were on average heavier, at birth compared to naturally conceived children, after adjustment for all observed confounders (Tables 2 and 3). Analyses of birthweight z-score according to gestational age and sex showed similar patterns. Children born after fresh-ET had a higher risk of small for gestational age and lower risk of large for gestational age compared to naturally conceived children, whereas the opposite was true for children conceived via frozen-ET (Fig 2A; Tables A and B in S1 Text). The sibship comparisons showed the same patterns, with clear differences in mean birthweight and small and large for gestational age between children born after fresh-ET and frozen-ET, compared to their siblings who were naturally conceived. The magnitudes of association were also similar between sibship and population-level analyses (Fig 2A).

Table 2. Birthweight and gestational age by conception method: Population estimates and within-sibship estimates in main sample 1 (minimizing selection).

Outcome and conception method Population estimates (random effects) Within-sibship estimates (fixed effects)
Number Mean1 Mean difference1 Adj. mean difference2 95% CI Number3 Mean1 Mean difference1 Adj. mean difference2 95% CI
Birthweight, grams
Natural conception 4,414,703 3,541 Ref.  33,889 3,540 Ref. 
Fresh-ET 78,095 3,410 −127 −71 −75 to −67 30,167 3,424 −116.3 −51 −58 to −45
Frozen-ET 17,990 3,581 51 66 59 to 74 9,589 3,623 83 82 70 to 94
Birthweight, z-score
Natural conception 4,414,703 −0.01 Ref.  33,889 −0.01 Ref. 
Fresh-ET 78,095 −0.19 −0.18 −0.05 −0.06 to −0.04 30,167 −0.23 −0.22 −0.06 −0.78 to −0.05
Frozen-ET 17,990 0.16 0.18 0.21 0.18 to 0.21 9,589 0.2 0.21 0.19 0.17 to 0.22
Gestational age, days
Natural conception 4,414,703 279.1 Ref.  33,889 279.0 Ref. 
Fresh-ET 78,095 276.6 −2.3 −2.1 −2.2 to −2.0 30,167 277.9 −1.1 −1.0 −1.2 to −0.8
Frozen-ET 17,990 278.1 −0.8 −0.6 −0.8 to −0.4 9,589 279.2 0.2 0.3 0.0 to 0.6

Adj., adjusted; CI, confidence interval; fresh-ET, fresh embryo transfer; frozen-ET, frozen embryo transfer; Ref., reference.

1Unadjusted.

2Adjusted for maternal age, parity, and year of birth. Random effects are additionally adjusted for country.

3Number of children that are part of a sibling group with at least 2 different conception methods within the group.

Table 3. Birthweight and gestational age by conception method: Population estimates and within-sibship estimates in main sample 2 (minimizing confounding).

Outcome and conception method Population estimates (random effects) Within-sibship estimates (fixed effects)
Number Mean1 Mean difference1 Adj. mean difference2 95% CI Number3 Mean1 Mean difference1 Adj. mean difference2 95% CI
Birthweight, grams
Natural conception 2,548,239 3,547 Ref.  19,656 3,547 Ref. 
Fresh-ET 53,059 3,413 −134 −83 −87 to −78 17,631 3,415 −132 −52 −61 to −44
Frozen-ET 14,326 3,583 42 56 48 to 65 6,538 3,610 63 75 61 to 89
Birthweight, z-score
Natural conception 2,548,239 0.01 Ref.  19,656 0.01 Ref. 
Fresh-ET 53,059 −0.20 −0.22 −0.08 −0.09 to −0.07 17,631 −0.28 −0.28 −0.08 −0.10 to −0.06
Frozen-ET 14,326 0.14 0.15 0.19 0.18 to 0.21 6,538 0.15 0.14 0.17 0.15 to 0.20
Gestational age, days
Natural conception 2,548,239 279.0 Ref.  19,656 279.0 Ref. 
Fresh-ET 53,059 276.9 −2.0 −2.1 −2.2 to −2.0 17,631 278.2 −0.8 −0.8 −1.0 to −0.6
Frozen-ET 14,326 278.4 −0.5 −0.7 −0.9 to −0.5 6,538 279.3 0.4 0.4 −0.0 to 0.7

Adj., adjusted; CI, confidence interval; fresh-ET, fresh embryo transfer; frozen-ET, frozen embryo transfer; Ref., reference.

1Unadjusted.

2Adjusted for maternal age, parity, year of birth, maternal pre-pregnancy or first trimester body mass index, and maternal smoking during pregnancy. Random effects are additionally adjusted for country and maternal height.

3Number of children that are part of a sibling group with at least 2 different conception methods within the group.

Fig 2. Adverse perinatal outcomes according to conception method: Population estimates and offspring sibling comparison.

Fig 2

Odds ratios with 95% confidence intervals for fresh embryo transfer (fresh-ET) versus natural conception (NC) (A) and frozen embryo transfer (frozen-ET) versus natural conception (B). Main sample 1 (MS 1) estimates are adjusted for maternal age, parity, offspring birth year, and country (population level only) and minimize selection bias. Main sample 2 (MS 2) estimates are additionally adjusted for maternal body mass index, smoking status, and height (population level only) and minimize confounding. Fig 3A–3C shows the mean birthweights and risks of small and large for gestational age for a given birth order among sibling pairs with different combinations of conception methods. Overall, mean birthweight and risk of large for gestational age were greater, and risk of small for gestational age lower, in second-born compared to first-born siblings in all groups. Infants born after fresh-ET had the lowest birthweights and highest risk of small for gestational age for their birth order, while children born after frozen-ET had the highest birthweights and highest risk of large for gestational age, regardless of the conception method of their respective siblings.

Duration of pregnancy

In both main samples, gestational age was shorter for children of fresh-ET and frozen-ET in population analyses (Tables 2 and 3). In the corresponding sibling comparisons, children of fresh-ET had gestational ages closer to their naturally conceived siblings, while children of frozen-ET had a longer gestational age compared to their naturally conceived siblings. In population analysis, in both main sample 1 and main sample 2, children conceived with fresh-ET and frozen-ET had substantially higher odds of preterm and very preterm birth than naturally conceived children. For preterm birth, there was some attenuation in sibling compared to population analyses (Fig 2; Tables A and B in S1 Text), particularly for frozen-ET in main sample 1. In sibship analyses of very preterm birth, there was more marked attenuation than seen in analyses of preterm birth, with point estimates close to the null value, though with wide confidence intervals.

Fig 3D shows the risk of preterm birth according to birth order for the different combinations of conception methods in consecutive sibling pairs. All sibling groups with 1 or 2 children of ART were at higher risk compared to the naturally conceived sibling pairs, and there were no clear differences between treatment types (fresh-ET and frozen-ET) in risk of preterm birth.

Fig 3. Perinatal outcomes in consecutive offspring sibling pairs according to birth order and conception methods.

Fig 3

Means and absolute risks are estimated in main sample 2, using random effects logistic models with post-estimation commands. Adjusted for maternal age, offspring birth year, country, maternal body mass index, smoking status, and height. Fresh-ET, fresh embryo transfer; Frozen-ET, frozen embryo transfer; NC, natural conception.

Sensitivity analyses

For the birthweight outcomes (mean birthweight, small for gestational age, and large for gestational age), the results of all sensitivity analyses (Tables C–L in S1 Text) were consistent with the findings from the main analysis. Concerning duration of pregnancy (mean gestational age, preterm birth, and very preterm birth), the sensitivity analyses were overall in line with the findings from main sample 2. One exception was the sibship comparison where ART treatment was restricted to blastocyst transfers, which may indicate an increased risk of both preterm and very preterm birth among children born after fresh-ET frozen-ET compared to their naturally conceived siblings (Table L in S1 Text). However, these estimates were imprecise due to small sample sizes.

Discussion

Summary of findings

We found evidence that children born after ART were at higher risk of adverse perinatal outcomes compared to the background population. Given the consistency of findings across conventional population and sibship analyses, in 2 samples (one minimizing selection bias and the other minimizing confounding) and multiple sensitivity analyses, our findings indicate that conception through fresh-ET was associated with lower mean birthweight and a higher risk of small for gestational age, whereas conception with frozen-ET was associated with higher mean birthweight and a higher risk of large for gestational age, compared to natural conception. Further, fresh-ET was associated with a shorter mean gestational age, and both fresh-ET and frozen-ET were associated with higher odds of preterm birth. Whilst population analyses suggested increased odds of very preterm birth in children conceived by either fresh-ET or frozen-ET, this was markedly attenuated in sibship analyses, though statistical power was limited in these analyses and confidence intervals were wide. The stronger associations at the population level for mean duration, preterm birth, and very preterm birth suggest that unmeasured maternal factors contribute to gestational duration in addition to the contribution of conception by either fresh-ET or frozen-ET.

Strengths and limitations

Our study involved 2 main samples, both with detailed maternal data, including information on previous deliveries and conception method. While main sample 1 was less prone to selection bias because it consisted of an unselected and larger population, main sample 2 provided results after more confounder adjustments, including for maternal BMI and smoking, both strongly associated with adverse perinatal outcomes [3133] and largely missing from similar previous studies [2023]. As reporting of BMI was introduced and improved during the study period, the children in main sample 2 comprise a more recent study population, reflecting contemporary treatment practice. Our sample was considerably larger than any previous population and included over 7-fold the number of discordant siblings compared with the 2 previous sibling studies directly comparing fresh-ET to frozen-ET.

A major strength was the comparison of siblings born after different conception methods. While the results from conventional population analyses are prone to residual confounding from unmeasured maternal and family characteristics, such as maternal health and family socioeconomic position, we expect the sibship analysis to account for many of these confounders as they are highly likely to be the same or very similar for siblings. Even if some characteristics may change between a woman’s pregnancies, they are more likely to be similar within women than between women, and, therefore, the within-sibship analyses provide extra control for these characteristics. In addition, the large sample size supported analyses comparing the risk of outcomes according to order of conception methods used, as well as several sensitivity analyses that accounted for possible differences between maternal and full siblings, greater differences in maternal or family characteristics between siblings born more than 3 years apart, and the use of single embryo transfer and blastocyst culture. We found similar results for birthweight outcomes in all our approaches and populations, strengthening the evidence that type of ART treatment influences birthweight outcomes. For duration of pregnancy, results were also broadly consistent, and collectively they support that both ART treatments increase the risk of preterm birth, without clearly influencing risk of very preterm birth.

All birth institutions and ART clinics in the study countries adhere to a policy of mandatory reporting, ensuring valid and exhaustive data collection. Even so, women who receive cross-border reproductive care are likely to be misclassified as having natural conceptions in our study because they do not appear in the national ART registries. These will be a small group compared to the large group of correctly classified naturally conceiving women [34,35], and are therefore unlikely to substantially bias the results. Smoking was self-reported and could only be harmonized across all countries as a dichotomous variable. Further, smoking is commonly underreported among pregnant women [36] and is a source of residual confounding that we expect to be considerably worse in the population than within the sibship analyses. Estimation of gestational age in comparisons of natural and ART conception is challenging because fetuses from both fresh-ET and frozen-ET may have a greater estimated fetal size by ultrasound in both the first and second trimester compared to naturally conceived fetuses [37]. ART-conceived pregnancies may therefore be expected to have a higher gestational age when estimated from ultrasound measurements than from transfer date. Whether clinicians took this into consideration when determining gestational age is not known in our data. Our data from Denmark and Norway allowed comparison of the 2 methods of determining gestational age and indicated very similar distributions. As a result, we decided to use the ultrasound measurements since these are used in clinical management. Another limitation is the lack of information on embryo culture medium, which has been shown to affect perinatal outcomes [38]. Even if culture medium differed between clinics and over time, this should not specifically differ between fresh-ET and frozen-ET, which makes it less likely that our results are confounded by culture medium.

We pooled data from Denmark, Sweden, and Norway, and assume that results are consistent across these 3 countries. We believe this is a reasonable assumption given that they are all high-income Nordic countries with accessible and affordable healthcare systems that provide similar fertility treatment and perinatal care [5]. However, this may limit the generalizability to other populations.

Comparison with other studies

We are not aware of previous studies of this size where perinatal outcomes of children born after fresh-ET or frozen-ET conception are compared to those of naturally conceived siblings as well as being explored using conventional population analyses. Previous studies that used within-sibship analysis to explore the associations of ART treatments with birth size and pregnancy duration had different designs and varied considerably in the covariates included [1823]. While we defined birthweight for gestational age based on intrauterine growth curves [26], previous studies used observed birthweight and different criteria for large and small for gestational age [1822]. As preterm birth often results from pregnancy complications that can affect fetal growth [39], the observed birthweights in preterm deliveries are not representative of the normal fetal weight distribution for healthy pregnancies at a given gestational age. Despite these differences, the results are broadly consistent (see Table M in S1 Text for a summary of study characteristics and estimates). In a Danish study of singletons born in 1994–2006, the results were largely consistent with ours, with lower mean birthweight and higher odds of low birthweight (<2,500 g) and preterm birth for children born after fresh-ET compared to their naturally conceived siblings (3,879 pairs), but no difference for very preterm birth [23]. Furthermore, infants born after frozen-ET had higher mean birthweights and lower odds of preterm birth than their siblings born after fresh-ET (358 pairs). A US study of ART-conceived singletons born in 2004–2013 compared fresh-ET to frozen-ET within sibships (3,681 discordant pairs) and found that siblings conceived with frozen-ET had greater odds of large for gestational age than those conceived with fresh-ET, but similar duration of pregnancy [22].

In 4 previous studies comparing ART-conceived infants to their naturally conceived siblings, conclusions were conflicting [1820,23]. However, directions of associations were similar across these studies and magnitudes similar in several. Different conclusions may therefore reflect their different sample sizes and associated variation in power to detect statistical evidence. A Norwegian study of 2,204 sibling pairs born in 1988–2006 [18], a Dutch study of 1,813 sibling pairs born in 1999–2007 [20], and a Finnish study of 578 sibling groups born in 1995–2000 [19] showed no strong statistical support for associations, but associations in all 3 studies were in the direction of lower birthweight and gestational age in infants conceived after ART (either fresh-ET or frozen-ET) compared to their naturally conceived siblings. Although these studies did not provide separate estimates for fresh-ET and frozen-ET, their results would be expected to mainly reflect fresh-ET, which was by far the more common treatment during the study periods. A US study including 6,458 discordant sibling pairs born in 2000–2010 showed lower birthweight and gestational age after ART compared to natural conception, with stronger statistical support than the other studies, but, as with those studies, did not separate fresh-ET and frozen-ET [21].

We could not distinguish “freeze-all” cycles, a strategy to prevent ovarian hyperstimulation syndrome [40], from frozen-ET after an initial fresh transfer. However, in a recent study by Smith et al. [41], perinatal outcomes after a planned freeze-all cycle were similar to those after frozen-ET in the conventional setting. This is in accordance with our study, where order of conception method was not associated with the perinatal outcomes.

In addition to the small number of previous within-sibship analyses described above, we also find some consistency with previous conventional observational studies, in which fresh-ET was associated with low birthweight and high risk of preterm and very preterm birth [8,9]. Frozen-ET, on the other hand, has been consistently associated with high birthweights, and some reports also indicate a lower risk of preterm birth compared to fresh-ET [8,9].

Implications of findings and conclusion

We provide important evidence on the likely impact of fresh-ET compared with natural conception and of frozen-ET compared with natural conception. Infants born large for gestational age have a higher risk of delivery complications, and being born small for gestational age, large for gestational age, and preterm are all associated with increased perinatal morbidity and mortality [42,43]. They are also associated with long-term adverse outcomes [4345]. Small for gestational age and preterm birth are associated with increased risk of cardiovascular diseases, mental health disorders, and social difficulties [44,45], and large for gestational age is associated with a higher risk of obesity and obesity-related adverse outcomes [45]. To ensure informed decision-making for infertile couples, and couples who are considering postponing childbearing, knowledge about adverse perinatal outcomes and their potential long-term consequences should be balanced against couples’ desire to have a family at a time that suits them. Future studies should address whether close antenatal monitoring beyond present guidelines may improve perinatal outcomes in ART-conceived pregnancies.

The increased risk of large for gestational age and higher mean birthweight seen after frozen-ET has potential implications for the recent increase in freeze-all approaches [46], in particular when evidence from a recent large cohort study and a randomized trial suggests no benefit from freezing all embryos compared with an initial fresh transfer with respect to the cumulative live birth rate [41,47]. It has been suggested that the freeze-all approach should be limited to couples with a clinical indication, such as where the risk of maternal ovarian hyperstimulation syndrome is high [46,47]. Our findings add to the debate about the role of freeze-all strategies, by providing indirect evidence that it may not reduce adverse perinatal outcomes compared to fresh-ET followed by frozen-ET.

In this study we found that frozen-ET was associated with increased birthweight and risk of large for gestational age, whereas fresh-ET was associated with the opposite. Furthermore, sibship comparisons indicated that both fresh-ET and frozen-ET were associated with increased risk of preterm birth but not with risk of very preterm birth, despite strong associations in conventional population analyses. These findings should contribute to the ongoing discussions on the role of emerging ART approaches, such as the freeze-all approach, and to informed decision-making by couples and their healthcare providers. They should prompt studies to identify possible mechanisms and preventive measures to improve perinatal health in ART-conceived children.

Supporting information

S1 STROBE Checklist. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guideline.

(DOCX)

S1 Study Protocol. The prospective analysis plan.

(PDF)

S1 Text

Tables of main (Tables A and B) and sensitivity analyses (Tables C–L), and summary of previous sibship studies (Table M).

(DOCX)

Acknowledgments

We thank all staff in the ART clinics and labor departments in the 3 contributing countries, for taking time to complete the ART registration forms and birth notifications in their busy working day. The details and completeness provide a solid foundation for our study.

Transparency

The first and last author (KWJ and SO) have had full access to the data and affirm that this paper is an honest, transparent, and accurate account of the study and that no important aspects of the study have been omitted

Dissemination to participants and related patient and public communities

It will not be possible to send the results to the study participants, but we plan to disseminate the findings to the public through media channels, our institutions’ websites, and the CoNARTaS website (http://www.conartas.com).

Abbreviations

ART

assisted reproductive technology

CoNARTaS

Committee of Nordic Assisted Reproductive Technology and Safety

fresh-ET

fresh embryo transfer

frozen-ET

frozen embryo transfer

OR

odds ratio

Data Availability

Data cannot be shared publicly owing to restrictions by law. Data are available from the CoNARTaS server at Statistics Denmark, after approval by the Ethics Committees and registry keeping authorities in each country, as described in the following publication: Opdahl S, Henningsen AA, Bergh C, Gissler M, Romundstad LB, Petzold M, Tiitinen A, Wennerholm UB, Pinborg AB. Data Resource Profile: Committee of Nordic Assisted Reproductive Technology and Safety (CoNARTaS) cohort. Int J Epidemiol. 2020 Apr 1;49(2):365-366f. doi: 10.1093/ije/dyz228. Contact information for Statistics Denmark: Division of Research Services Statistics Denmark Sejrøgade 11 DK-2100 Copenhagen Denmark E-mail: forskningsservice@dst.dk Phone: +45 39 17 31 30.

Funding Statement

This work was supported by the NordForsk (grant number 71450, AP), the Central Norway Regional Health Authorities (grant number 46045000, LBR), the Nordic Federation of Obstetrics and Gynaecology (grant numbers NF13041, NF15058, NF16026 and NF17043, UBW & AT), the Interreg Øresund-Kattegat-Skagerrak European Regional Development Fund (ReproUnion project, AP & CB), and by the Research Council of Norway’s Centre of Excellence funding scheme (grant number 262700, SEH & LBR). DAL’s contribution to this work is supported by the University of Bristol and Medical Research Council (MC_UU_00011/6, DAL), the Bristol National Institute of Health (NIHR) Research Biomedical Research Centre (DAL) and a NIHR Senior Investigator award (NF-0616-10102, DAL). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Decision Letter 0

Richard Turner

12 Nov 2020

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Decision Letter 1

Richard Turner

15 Dec 2020

Dear Dr. Westvik-Johari,

Thank you very much for submitting your manuscript "Perinatal health after fresh and frozen embryo transfer in assisted reproduction - separating parental and treatment contributions. A cohort study with within sib-ship analysis" (PMEDICINE-D-20-05488R1) for consideration at PLOS Medicine.

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[LINK]

In light of these reviews, we will not be able to accept the manuscript for publication in the journal in its current form, but we would like to invite you to submit a revised version that addresses the reviewers' and editors' comments fully. You will appreciate that we cannot make a decision about publication until we have seen the revised manuscript and your response, and we expect to seek re-review by one or more of the reviewers.

In revising the manuscript for further consideration, your revisions should address the specific points made by each reviewer and the editors. 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. In your rebuttal letter you should indicate your response to the reviewers' and editors' comments, the changes you have made in the manuscript, and include either an excerpt of the revised text or the location (eg: page and line number) where each change can be found. Please submit a clean version of the paper as the main article file; a version with changes marked should be uploaded as a marked up manuscript.

In addition, we request that you upload any figures associated with your paper as individual TIF or EPS files with 300dpi resolution at resubmission; please read our figure guidelines for more information on our requirements: http://journals.plos.org/plosmedicine/s/figures. While revising your submission, please upload your figure files to the PACE digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at PLOSMedicine@plos.org.

We hope to receive your revised manuscript by Jan 11 2021 11:59PM. Please email us (plosmedicine@plos.org) if you have any questions or concerns.

***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.***

We ask every co-author listed on the manuscript to fill in a contributing author statement, making sure to declare all competing interests. 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. If new competing interests are declared later in the revision process, this may also hold up the submission. 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. You can see our competing interests policy here: http://journals.plos.org/plosmedicine/s/competing-interests.

Please use the following link to submit the revised manuscript:

https://www.editorialmanager.com/pmedicine/

Your article can be found in the "Submissions Needing Revision" folder.

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. For instructions see http://journals.plos.org/plosmedicine/s/submission-guidelines#loc-methods.

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.

Please let me know if you have any questions. Otherwise, we look forward to receiving your revised manuscript in due course.

Sincerely,

Richard Turner, PhD

Senior Editor, PLOS Medicine

rturner@plos.org

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

Requests from the editors:

To your data statement, please add (non-author) contact information for the study administrators or Statistics Denmark.

Considering the observational study design, please avoid language that implies causality (e.g., "effects" early in your abstract).

Please adapt your abstract to a three-part structure - you may find it helpful to consult one or two recent research papers published in PLOS Medicine to get a sense of the preferred style.

The final sentence of the "Methods and findings" subsection of your abstract should begin "Study limitations include ..." or similar and quote 2-3 of the study's main limitations.

Please adapt the text to "We found ... had ..." towards the end of your abstract.

After the abstract, please add an "Author summary" section in non-identical prose, aiming to use the active voice in 1-2 points (e.g., "We found that ...").

Early in the methods section of your main text, please state whether the study had a protocol or prespecified analysis plan, and if so attach the relevant document(s) as a supplementary file(s), referred to in the text. Please highlight analyses that were not prespecified.

Throughout the text, please adapt reference call-outs to the following style: "... socioeconomic position [16,17]." (i.e., with no spaces within the square brackets).

Throughout the paper, please quote p values alongside 95% CI where available.

Please ensure that all reference citations meet journal style. Six author names should be listed rather than 3, followed by "et al."; italics should be converted to plain text.

Please add a completed checklist for the most appropriate reporting guideline - which may be STROBE or RECORD - as a supplementary document. Please refer to this in the methods section of your main text (e.g., "See S1_RECORD_Checklist"). In the checklist, please refer to individual items by section (e.g., "Methods") and paragraph number rather than by line or page numbers, as the latter generally change in the event of publication.

Comments from the reviewers:

*** Reviewer #1:

"Perinatal health after fresh and frozen embryo transfer in assisted reproduction - separating parental and treatment contributions. A cohort study with within sib-ship analysis" examines the correlations between fresh embryo transfer (fresh-ET) and frozen embryo transfer (frozen-ET), to various outcomes such as birthweight and preterm birth. Over 33,000 discordant sibling pairs from three countries were included, with two main analyses performed to minimize selection bias and minimize confounding, respectively. Various sensitivity analyses were also performed to study the effect of additional potential confounders. It was consistently found that infants conceived from fresh-ET tend to have lower birthweight/being small for gestational age, while those conceived from frozen-ET tend to have higher birthweight/being large for gestation age. Both fresh-ET and frozen-ET had increased risk of preterm birth. These findings largely concur with prior literature, which however did not generally account for confoundings as thoroughly.

The analyses appear convincing and robust on the whole, particularly as the sibship constraint helps to mitigate a large number of potential confounders, due to sharing the same parent(s).

1. It is stated that small for gestational age (SGA) was defined as birthweights less than 2 std dev, and large for gestational age (LGA) as birthweights greater than 2 std dev, where one standard deviation was set as 11% of the expected birthweight. However, it appears that the most common definition would be a weight below 10th percentile for SGA (and conversely above 90th percentile for LGA). Was there any reason as to why the 2 std dev definition was chosen instead (e.g. concurs with previous studies), and how far does it differ from the bottom/top 10th percentile definition, in practice?

2. For Sensitivity Analysis 2 in Figure 1, n=1,972,012 for naturally conceived infants, but n=1,982,791 in Supplementary Tables 5 & 6. This might be addressed.

Minor issues:

3. In the abstract, "95% 70 to 94" might be "95% CI".

4. The abbreviations SGA, LGA, PTB and VPTB (probably relating to gestational age and preterm births) in Figure 2, might be defined at some prior point in the paper (possibly within the figure caption definitions, as done for natural conception for example)

*** Reviewer #2:

General comments

This is a retrospective cohort study within sub-ship analysis examining the perinatal outcome of babies born after fresh-ET and frozen-ET versus natural conception

Due to the well-known quality of ART-registration in Denmark, Norway and Sweden the authors can provide very interesting information on perinatal outcoma after assisted reproduction.

The number of 33 056 offspring siblings with the same mother with at least two different conception methods is very important. Above this not only fresh-ET and frozen-ET offspring are compared, buth both groups are als compared with natural conception offspring in a huge number of patients.

I believe that this retrospective analysis, with even data of the paternal identity in 98 % of cases, deliveres results uncomparable with previous reports, not only due to the amount of cases, but also due to the methods used to prevent as much as possible confounding factors including socioeconomic status.

This paper can be regarded as a major contribution in our understanding how assisted reproduction can influence perinatal outcome results when compared to natural conception.

Specific comments

Only two comments:

Why did the authors looked at mean birthweight and small for getational age. In the literature <2.5kg and < 1.5 kg is mostly used.

There is no mention of the influence of different culture media on birthweight in the discussion. I assume that this parameter could not be examined.

*** Reviewer #3:

This is the largest study investigating perinatal outcomes following fresh and frozen embryo transfers (ETs) compared with natural conception (NC) within siblings. The sample size is extremely larger (33,056 sibling pairs) than other sibling analysis studies. Further, the study stratified the analysis according to fresh/frozen status, which have not been done in most of previous studies. Though significant associations between ART and perinatal outcomes were attenuated and did not become significant within sib-ship analysis in many previous sibling studies, , this study found that significant association between fresh ET and LBW, SGA, and between frozen ET and higher birthweight and LGA. which was similar in population analysis. Only inconsistent result between population analysis and sibling analysis was very preterm birth. 

The author took a strict strategy for sample selection to manage selection bias and confounding. Further, they repeated several sensitivity analyses to test the robustness of the associations. I have only several minor points that should be addressed before publication.  

1. Discussion (P 18): Though the author mentioned about other studies for comparison, I do not think those studies are broadly consistent results. One recent study from the Lancet (Goisis et al.) demonstrated significant associations were very highly attenuated after statistical adjustment. Another study from the Netherlands (Seggers et al.) using 1813  sibling pairs demonstrated null association. Although the author mentioned the direction of the association was similar, non-significant associations did not have any directions. Further, conclusions of those previous studies were opposite to the current study. Thus, I recommend to describe more in detail about the discrepancy for study results, potential reasons and future implication on it.

***

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

[LINK]

Decision Letter 2

Richard Turner

23 Jan 2021

Dear Dr. Westvik-Johari,

Thank you very much for re-submitting your manuscript "Perinatal health after fresh and frozen embryo transfer in assisted reproduction - separating parental and treatment contributions. A cohort study with within sib-ship analysis" (PMEDICINE-D-20-05488R2) for consideration at PLOS Medicine.

I have discussed the paper with editorial colleagues and our academic editor and I am pleased to tell you that, provided the remaining editorial and production issues are fully dealt with, we expect to be able to accept the paper for publication in the journal.

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 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 hope to receive your revised manuscript within 1 week. Please email us (plosmedicine@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.

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.

Please let me know if you have any questions. Otherwise, we look forward to receiving the revised manuscript shortly.   

Sincerely,

Richard Turner, PhD

Senior Editor, PLOS Medicine

rturner@plos.org

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

Requests from Editors:

We suggest adapting the title to: "Separating parental and treatment contributions to perinatal health after fresh and frozen embryo transfer in assisted reproduction: a cohort study with within-sibship analysis".

Please quantify these results in the abstract with ORs, 95% CIs and p values: “For very preterm birth, population analyses showed increased odds for both fresh- and frozen- ET compared with natural conception, but results were notably attenuated within siblings.”

Please ensure that numbers are quoted consistently throughout the paper, noting "4,414,705" in table 1.

In table 3, please make that "CI - confidence interval".

The first paragraph of the discussion should summarize the study - therefore, please use the past tense to summarize the findings (e.g., "we found that children born after ART were at higher risk ...").

Please correct "ashorter" in the first paragraph of the Discussion section.

In the final paragraph of the Discussion section, please begin the first sentence with "In this study, we found that frozen-ET was associated with ..." or similar, and adapt the subsequent text to the same tense.

Please convert "within siblings" to "between siblings" throughout the paper, where appropriate.

Throughout the text, please ensure that reference call-outs precede punctuation and remove spaces from within the square brackets (e.g., "... morbidity and mortality [48,49].").

Please move the information on study ethics approval from the end of the main text to the methods section.

Please remove the information on funding and competing interests from the end of the main text. Upon publication this information will appear in the article metadata via entries in the submission form.

Please ensure that all references meet journal format. For example, all italic and boldface text should be converted to plain text. Six author names should be listed where appropriate, followed by "et al.". All instances of "p." preceding page numbers should be removed. Journal names should be abbreviated consistently.

For reference 16, for example, author names should be listed as : "Lawlor D, Tilling K, Davey Smith G."

Please rename the attached protocol document to the label by which it is referred to in the text.

***

Decision Letter 3

Richard Turner

3 Jun 2021

Dear Dr Westvik-Johari, 

On behalf of my colleagues and the Academic Editor, Dr Smith, I am pleased to inform you that we have agreed to publish your manuscript "Separating parental and treatment contributions to perinatal health after fresh and frozen embryo transfer in assisted reproduction: a cohort study with within-sibship analysis" (PMEDICINE-D-20-05488R3) in PLOS Medicine. We do apologize for the delay in sending you this decision.

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.

Prior to final acceptance, please: remove the information about data provision from the end of the main text (this will appear in the article metadata via entries in the submission form; and remove the competing interest information from reference 42. We suggest "within sibship" and "between siblings", for example, throughout, but leave this to you.

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

We frequently collaborate with press offices. If your institution or institutions have a press office, please notify them about your upcoming paper at this point, to enable them to help maximise its impact. If the press office is planning to promote your findings, we would be grateful if they could coordinate with medicinepress@plos.org. If you have not yet opted out of the early version process, we ask that you notify us immediately of any press plans so that we may do so on your behalf.

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, 

Richard Turner, PhD 

Senior Editor, PLOS Medicine

rturner@plos.org

Associated Data

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

    Supplementary Materials

    S1 STROBE Checklist. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guideline.

    (DOCX)

    S1 Study Protocol. The prospective analysis plan.

    (PDF)

    S1 Text

    Tables of main (Tables A and B) and sensitivity analyses (Tables C–L), and summary of previous sibship studies (Table M).

    (DOCX)

    Attachment

    Submitted filename: Responseletter_jan_again.docx

    Attachment

    Submitted filename: Responseletter_jan_again.docx

    Data Availability Statement

    Data cannot be shared publicly owing to restrictions by law. Data are available from the CoNARTaS server at Statistics Denmark, after approval by the Ethics Committees and registry keeping authorities in each country, as described in the following publication: Opdahl S, Henningsen AA, Bergh C, Gissler M, Romundstad LB, Petzold M, Tiitinen A, Wennerholm UB, Pinborg AB. Data Resource Profile: Committee of Nordic Assisted Reproductive Technology and Safety (CoNARTaS) cohort. Int J Epidemiol. 2020 Apr 1;49(2):365-366f. doi: 10.1093/ije/dyz228. Contact information for Statistics Denmark: Division of Research Services Statistics Denmark Sejrøgade 11 DK-2100 Copenhagen Denmark E-mail: forskningsservice@dst.dk Phone: +45 39 17 31 30.


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