Skip to main content
PLOS One logoLink to PLOS One
. 2022 Dec 20;17(12):e0279229. doi: 10.1371/journal.pone.0279229

The impact of ultrasound-based antenatal screening strategies to detect vasa praevia in the United Kingdom: An exploratory study using decision analytic modelling methods

Benjamin Ruban-Fell 1, George Attilakos 2, Tao Haskins-Coulter 1, Christopher Hyde 3, Jeanette Kusel 1, Anne Mackie 4, Oliver Rivero-Arias 5, Basky Thilaganathan 6, Nigel Thomson 7, Cristina Visintin 8, John Marshall 8,*
Editor: Yinka Oyelese9
PMCID: PMC9767376  PMID: 36538562

Abstract

The objective of this exploratory modelling study was to estimate the effects of second-trimester, ultrasound-based antenatal detection strategies for vasa praevia (VP) in a hypothetical cohort of pregnant women. For this, a decision-analytic tree model was developed covering four discrete detection pathways/strategies: no screening; screening targeted at women undergoing in-vitro fertilisation (IVF); screening targeted at women with low-lying placentas (LLP); screening targeted at women with velamentous cord insertion (VCI) or a bilobed or succenturiate (BL/S) placenta. Main outcome measures were the number of referrals to transvaginal sonography (TVS), diagnosed and undiagnosed cases of VP, overdetected cases of VCI, and VP-associated perinatal mortality. The greatest number of referrals to TVS occurred in the LLP-based (2,083) and VCI-based screening (1,319) pathways. These two pathways also led to the highest proportions of pregnancies diagnosed with VP (VCI-based screening: 552 [78.9% of all pregnancies]; LLP-based: 371 [53.5%]) and the lowest proportions of VP leading to perinatal death (VCI-based screening: 100 [14.2%]; LLP-based: 196 [28.0%]). In contrast, the IVF-based pathway resulted in 66 TVS referrals, 50 VP diagnoses (7.1% of all VP pregnancies), and 368 (52.6%) VP-associated perinatal deaths which was comparable to the no screening pathway (380 [54.3%]). The VCI-based pathway resulted in the greatest detection of VCI (14,238 [99.1%]), followed by the IVF-based pathway (443 [3.1%]); no VCI detection occurred in the LLP-based or no screening pathways. In conclusion, the model results suggest that a targeted LLP-based approach could detect a substantial proportion of VP cases, while avoiding VCI overdetection and requiring minimal changes to current clinical practice. High-quality data is required to explore the clinical and cost-effectiveness of this and other detection strategies further. This is necessary to provide a robust basis for future discussion about routine screening for VP.

Introduction

Vasa praevia (VP) is a rare condition whereby fetal blood vessels run across or close to the cervical opening during labour [1]. Without antenatal detection and intervention through planned Caesarean section, fatal exsanguination of the fetus may occur [2]. Type I VP arises from velamentous cord insertion (VCI) and Type II arises as a consequence of a bilobed or succenturiate (BL/S) placenta [35]. A third type has recently been described in cases with abnormal placental location [6].

The development of guidelines for antenatal detection of VP is dependent on a limited evidence base and diagnostic criteria continue to evolve [5, 7]. Strategies vary, but most rely on detecting predisposing risk factors such as low-lying placenta (LLP), BL/S placenta, VCI or, less frequently, marginal cord insertion (MCI) via transabdominal sonography (TAS) in the second trimester, with the presence of VP (and the need for a Caesarean section) confirmed with further TAS and/or transvaginal sonography (TVS) [711].

In the UK there is no nationally recommended strategy for antenatal detection and management of VP from clinical guideline bodies [5, 12]. The UK National Screening Committee (UK NSC) does not recommend universal screening for VP. This is based on a review which identified a weak evidence base relating to screening for VP and concerns regarding unnecessary Caesarean sections and VCI overdetection [1].

Systematic detection of VCI, for example as part of a screening strategy for VP, would represent a departure from UK clinical practice as this and other cord anomalies are not included in the panel of mid trimester screening targets [13]. Though VCI has a demonstrated high prevalence in cases with VP [14], and many women with VP will therefore have VCI, only around 2% of women with VCI will also have VP. This suggests a possibly high rate of VCI overdetection if this marker is used to identify a group of women who would be offered further testing for VP. At the same time VCI itself is reported to have an association with a number of adverse perinatal outcomes, albeit weak-to-moderate [15]. Management pathways for VCI based on enhanced monitoring are beginning to be described in guidelines outside the UK [10, 16], which may indicate a growing awareness of this association. However, test accuracy studies are limited and there is an absence of evidence-based interventions for VCI and related anomalies such as MCI [15].

Antenatal VP detection practice and awareness of risk factors have been reported to vary across UK maternity units [17]. While interest in this area is increasing in the UK, a very limited body of UK-based research is available to inform discussion or quantify outcomes from screening strategies [1820].

The concept of ‘screening’ is centrally concerned with the early detection of a disease, or risk of disease, in whole populations in which the prevalence of the condition in question is low. The aim of this strategy is to improve outcomes while minimising any screening-related harms from, for example, false positive results, findings of uncertain clinical significance, overdiagnosis or unnecessary interventions. Guidance on VP by the Royal Australian and New Zealand College of Obstetricians and Gynaecologists (RANZCOG) characterises TAS-based screening for VCI as universal, or population, screening strategy [9]. In this screening approach, all pregnant women would be offered TAS for VCI in order to establish the risk of VP. Where the presence of VP is confirmed by TVS diagnosis, women could be offered Caesarean section to prevent the adverse consequences with this condition.

However, discussion of the concept of screening has also identified alternative approaches such as ‘targeted screening’ [21, 22]. This might be described as a testing intervention which is proactively offered to a group of people identified as being at elevated risk of a condition compared to the general population; an important consequence of this approach is a lower number needing to be screened to detect a case of disease compared to universal (population) screening [23, 24]. LLP stands out as a candidate for such an approach, where placental localisation at mid-term to establish risk of placenta praevia has been embedded in antenatal care for many years and LLP is detected in approximately 10% of pregnancies [13]. Detection and management are well served by guidelines from national bodies, recommending that women with LLP at mid-term should be recalled for further scanning in the third trimester and offered caesarean section where indicated [5, 12].

Given the limited availability of UK evidence on VP, its detection and management, a screening impact model was developed within an expert group. Rather than providing a definitive analysis of all possible pathways based on all possible combinations of risk factors, the aim of this exploratory study was to use decision analytic modelling techniques to develop a series of screening pathways based on discrete risk factors relevant to the UK setting in order to explore the evidence base and to compare the potential impact of each pathway on key outcomes relating to VP. The overall purpose of this work was to make a practical contribution to the evolving discussion about the antenatal detection of VP in the UK; this was achieved by presenting here an analysis of four possible detection pathways for VP which increase in scale and by highlighting the need for high-quality data in order to fully explore the clinical and cost-effectiveness of potential detection strategies in the UK setting.

Methods

Model structure

The VP screening model was programmed in Microsoft Excel and used a decision-analytic tree structure to explore the effects of four potential detection pathways in a hypothetical one-year UK pregnancy cohort. Decision trees are appropriate for modelling the short-term outcomes of antenatal screening programmes when these outcomes are based on well-defined processes, such as those assessed in this study [25, 26]. Decision tree structures have been used in previously published VP screening models and in other models of antenatal screening scenarios in a UK population [2729]. The structure of the modelled decision tree is outlined in Table 1 and S1 Fig.

Table 1. Branches of the VP screening model.

Section Description
Detection pathways (as the decision alternatives) One of the four detection pathways is selected at the initial stage
Test eligible groups (as per detection pathway) The group of pregnancies eligible for testing for VP and therefore entering the respective screening pathway are identified at this stage (e.g. the number/proportion of pregnancies with LLP, IVF or the whole cohort)
True (biological) health state This represents the underlying biological health state of each pregnancy, irrespective of the eventual diagnosis (VCI, VP or uncomplicated pregnancy)
Screening result This segment determines whether VP is diagnosed by TVS or not (and whether a woman is referred to TVS, not referred to TVS or opts out of testing completely). Women may also be re-scanned where TVS is indeterminate for VP diagnosis. Women in the not screened arm may also be diagnosed with VP via TVS, accounting for any incidental diagnoses
Birth method This stage determines whether the birth is planned vaginal or via planned Caesarean section, followed by whether the birth happened as planned or if an emergency Caesarean section was required
Survival of the baby This considers the risk of death at any point in the perinatal period

Abbreviations: IVF, in vitro fertilisation; LLP, low-lying placenta; TVS, transvaginal sonography; VCI, velamentous cord insertion; VP, vasa praevia.

As part of this exploratory model, each detection pathway was assessed as a discrete decision alternative. During the first stage of the decision tree, the hypothetical pregnancy cohort entered one of four alternative detection pathways; these were designed through expert discussion during two independent workshops and consultation of existing guidelines for VP detection in the US, Australia, New Zealand and Canada [810, 30]. The pathways, considered to be of most interest in this exploratory analysis, were: no screening, in-vitro fertilisation (IVF)-based screening, LLP-based screening or VCI-based screening. An overview diagram comparing the different pathways (and their hypothetical integration into clinical practice) is provided in Fig 1, with all four pathways including the recommended 18+0 to 20+6 week fetal anomaly scan as a first step. The no screening pathway was designed to provide an approximation of VP detection in current routine clinical practice (in the absence of a nationally recommended VP detection strategy). In this pathway, it was assumed that only pregnancies in which VP was incidentally detected during the 18+0 to 20+6 week fetal anomaly scan, as the main component of this pathway, were referred to TVS for VP for confirmation. In all four pathways it was assumed that all pregnancies were examined for LLP during the 18+0 to 20+6 week scan, and women with LLP were offered a follow-up examination at 32 weeks, in keeping with currently recommended good clinical practice [13]. However, only in the LLP-based pathway was detection of LLP at 18+0 to 20+6 weeks followed up with an additional TAS specifically for VP at 32 weeks (representing a targeted screening strategy in which VP is actively sought only in women who have a risk factor routinely detected in current practice to prevent adverse outcomes from placenta praevia). In the VCI-based pathway, additional testing for VCI and BL/S placenta specifically aimed at establishing the risk of VP would be performed during the 18+0 to 20+6 week scan, with positive detection prompting a recall at 32 weeks to perform further TAS to confirm the presence of VP (representing a population screening strategy based on a risk factor which is sought for the sole purpose of identifying and preventing adverse outcomes from VP, and which is not currently reported in UK practice). The same strategy was followed for the IVF-based pathway, except that this was applied only to women with pregnancies resulting from IVF; as this is a predisposing factor associated with VP in a very small population subgroup, this was used to represent risk assessment in routine clinical care [4]. All detection pathways focused only on singleton pregnancies, a simplifying assumption based on findings indicating that there is no independently significant association between multiple pregnancies and VP incidence [1, 4]. In all pathways, pregnancies that underwent TAS at 32 weeks were also followed-up by TVS for VP, if VP was suspected. Incidental detection of VP across all pregnancies was also accounted for in all four pathways.

Fig 1. Modelled detection pathways.

Fig 1

* Women with LLP defined by a placental edge that is 2 cm or less from the internal cervical opening. Abbreviations: BL/S, bilobed/succenturiate; IVF, in vitro fertilisation; LLP, low-lying placenta; TAS, transabdominal scan; TVS, transvaginal scan; VCI, velamentous cord insertion; VP, vasa praevia.

Data sources

The majority of model inputs were derived from published sources identified through the previously conducted UK NSC review of VP screening [1], targeted literature searches, a systematic literature review (SLR) and meta-analysis (MA) of adverse outcomes associated with (un-)diagnosed VP, as well as normal pregnancies and pregnancies with VCI (S1 File). Quality assessments were conducted for all published sources included in the base case model using the Joanna Briggs Institute Critical Appraisal Checklist for Studies Reporting Prevalence Data for epidemiological studies [31], Centre for Evidence Based Medicine Prognostic Studies Critical Appraisal Worksheet for prognostic studies [32], the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool for diagnostic studies [33], or the Drummond checklist for economic evaluations (S2 File) [34]. Literature-derived inputs were validated through expert opinion during two workshops involving six UK clinical experts (GA, BT, NT, AM, EDJ, HG) and two modelling experts (CH, ORA); these workshops were also used to inform inputs in the absence of published data. Workshop participants were selected based on their relevant roles and expertise within the UK NSC structures and/or involvement in previous UK NSC consultations.

Table 2 lists the key model inputs; a full list of all model inputs is provided in the S1 Table.

Table 2. Key model inputs.

Input Value Rationale Reference
Overall model population
The total number of pregnancies in the UK population per year 862,785 Official UK statistics, providing accurate, population-level data ONS [35]
Proportion of women entering the VP screening pathway
No screening 0.00% Assumption that no women are tested as part of the no screening pathway Assumed
VCI-based 100.00% Assumption that all pregnant women in the UK are initially tested for VCI (and BL/S placenta) as part of the VCI-based pathway Assumed
IVF-based 1.60% Based on the prevalence of IVF-based pregnancies (see S1 Table) Ebbing 2013 [36]
LLP-based 10.00% Based on the prevalence of LLP pregnancies (see S1 Table) Expert opinion
Incidence of VCI
General population 1.50% Appropriate literature value (based on applicability and quality of the study) identified through targeted searches Ebbing 2013 [36]
IVF pregnancies 3.70% Appropriate literature value (based on applicability and quality of the study) identified through targeted searches Ebbing 2013 [36]
LLP pregnancies 2.80% Appropriate literature value (based on applicability and quality of the study) identified through targeted searches Suzuki 2015 [37]
Incidence of VP
General population 0.03% Average value identified in the UK NSC review, in alignment with expert opinion UK NSC 2017 [1]
IVF pregnancies 0.34% Appropriate literature value (based on applicability and quality of the study) identified through targeted searches Schachter 2002 [38]
LLP pregnancies 0.52% Appropriate literature value (based on applicability and quality of the study) identified through targeted searches Rosenberg 2011 [39]
Diagnostic test accuracy
Sensitivity of TAS for VCI 99.00% Appropriate literature value (based on applicability and quality of the study) identified through targeted searches Sepulveda 2003 [40]
Sensitivity of TAS for BL/S placenta 75.00% (range: 65.00–85.00) Appropriate literature value (based on applicability and quality of the study) identified through targeted searches Cipriano 2010 [27]
Sensitivity of TAS for VP 87.00% Appropriate literature value (based on applicability and quality of the study) identified through targeted searches Catanzarite 2001 [3]
Sensitivity of TVS for VP 96.60% Appropriate literature value (based on applicability and quality of the study) identified through targeted searches Bronsteen 2013 [41]

Abbreviations: BL/S, bilobed or succenturiate; IVF, in vitro fertilisation; LLP, low-lying placenta; TAS, transabdominal sonography; TVS, transvaginal sonography; UK NSC, United Kingdom National Screening Committee; VCI, velamentous cord insertion; VP, vasa praevia.

Model outputs

In order to understand the potential impact of the different detection pathways, with regards to the outcomes in VP pregnancies as well as possible resource implications and trade-offs, a variety of outputs were modelled. These were the number of additional TAS scans and referrals to TVS (as a direct outcome of the modelled pathways, i.e. not including referrals as part of current clinical practice), diagnosed and undiagnosed cases of VP, detected cases of VCI, the proportion of emergency Caesarean sections for VP pregnancies, and the number of VP-associated perinatal deaths. The ratio of additional TAS scans or referrals to TVS to the number of diagnosed VP cases was included as a simplified estimate of efficiency for each of the pathways.

The two outputs considered as main outcomes of interest for additional sensitivity analyses (see below for more details) were the proportion of diagnosed VP pregnancies, due to this being a key step towards the comparison of clinical outcomes, and number of referrals to TVS, as an important indicator of possible resource implications.

Sensitivity and scenario analyses

In order to identify key drivers for the two main outcomes of interest in the model (diagnosed VP pregnancies and referrals to TVS), a deterministic sensitivity analysis (DSA) was conducted to evaluate the impact of each model parameter on the difference in these outcomes between each pathway and no screening. Where possible, published variance data (e.g. confidence intervals [CI]) were used to perform the DSA; in the absence of published data, approximate 95% CIs were calculated from the base case values using the Wilson score interval method for binomial probabilities [42].

A probabilistic sensitivity analysis (PSA) was carried out to evaluate the joint parameter uncertainty across model inputs on the two main outcomes of interest. Input values were varied stochastically based on published variance data where possible, or calculated Wilson score intervals where required in the absence of published data, and using beta distributions (as all included inputs were binomial probabilities) [43]. Each new combination of input values was tested in turn during 1,000 iterative simulations, and a plot was generated showing the mean average difference (and associated non-parametric 95% CI) between each pathway and no screening with regards to the number of referrals to TVS and diagnosed VP pregnancies.

Scenario analyses were run to explore both uncertainties associated with model inputs and structural assumptions concerning the detection pathways. To explore uncertainty in the model inputs, a set of alternative literature values for key model inputs (Alternative Inputs Scenario) were used simultaneously. The key model inputs were informed by the inputs that were found to have the greatest impact on the proportion of diagnosed VP in the DSA (these inputs, and the alternative values used, are summarised in S2 Table). To account for the assumption that accuracy of diagnostic testing for VP may improve over time, based on likely evolving technology and clinical practice, an additional scenario analysis was based on the inclusion of higher sensitivity inputs for TVS for VP (100%; based on Ruiter et al.) [44] and for TAS for VP (98%; assumed to be slightly lower than TVS).

To explore structural assumptions, two Structural Scenarios were developed. In Structural Scenario 1, the TAS for VP step at 32 weeks was removed from all pathways. Structural Scenario 2 included a combined IVF- and LLP-based pathway in which pregnancies resulting from IVF and/or with LLP were considered eligible for TAS at 32 weeks. For this scenario, published odds ratios for the occurrence of LLP in IVF pregnancies were used to calculate the combined IVF/LLP cohort, and VCI and VP incidence values in either IVF (for VCI) or LLP (for VP) pregnancies were conservatively assumed for this cohort. All scenario analyses were decided through discussion with clinical experts during two independent workshops, taking into account alternative scenarios that were deemed plausible in clinical practice and of the most interest for this exploratory analysis.

Results

Base case

In the no screening pathway, no pregnancies were actively tested for VP. However, 0.003% (27 pregnancies) of all pregnancies were incidentally diagnosed as VP at 18+0 to 20+6 weeks and directly referred to confirmatory TVS. 14,126 pregnancies in the IVF-based pathway underwent TAS specifically for VCI and BL/S placenta at 18+0 to 20+6 weeks; for the VCI-based pathway, all of the 862,785 pregnancies that occurred within the modelled one-year UK pregnancy cohort underwent TAS for VCI and BL/S placenta in addition to the routine fetal anomaly scan at 18+0 to 20+6 weeks. In the LLP-based pathway 10.0% (86,270 pregnancies) of all pregnancies had LLP, with 85,407 (99.0%) of these being detected as part of the routine fetal anomaly scan at 18+0 to 20+6 weeks and referred to follow-up examinations, with TAS for VP added to current practice, at 32 weeks accordingly (Table 3).

Table 3. Base case results for demographic and screening outcomes.

No screening IVF-based pathway LLP-based pathway VCI-based pathway
VP pregnancies, n [difference vs no screening pathway]
    Within the affected population entering the pathway 0 62 448 700
[+62] [+448] [+700]
    Within the affected population not entering the pathway 700 638 252 0
[–62] [–448] [–700]
    Total 700 700 700 700
[0] [0] [0]
VCI pregnancies, n [difference vs no screening pathway]
    Within the affected population entering the pathway 0 447 2,397 14,361
[+447] [+2,397] [+14,361]
    Within the affected population not entering the pathway 14,361 13,914 11,964 0
[–447] [–2,397] [–14,361]
    Total 14,361 14,361 14,361 14,361
[0] [0] [0]
Number of scans, n [difference vs no screening pathway]
    Additional TAS scans at 18+0 to 20+6 weeks a 0 14,126 0 862,785
[+14,126] [+862,785]
    Referrals to 32-week TAS 0 834 85,407 38,028
[+834] [+85,407] [+38,028]
    TVS scans for VP 27 66 2,083 1,319
[+39] [+2,056] [+1,292]
Screening outcomes
    VCI detected, n (% of all VCI pregnancies) [difference vs no screening pathway] 0 (0) 443 (3.1) 0 (0) 14,238 (99.1)
[+443 (+3.1)] [0] [+14,238 (+99.1)]
    VP diagnosed, n (% of all VP pregnancies) [difference vs no screening pathway] 27 (3.9) 50 (7.1) 371 (53.5) 552 (78.9)
[+23 (+3.2)] [+344 (+49.6)] [+525 (+75.0)]
    TAS scans per VP diagnosed, n [difference vs no screening pathway] b 0 299 230 1,632
[+299] [+230] [+1,631]
    TVS scans per VP diagnosed, n [difference vs no screening pathway] 1.0 1.3 5.6 2.4
[+0.3] [+4.6] [+1.4]

a TAS scans (for VCI) performed in addition to the routine fetal anomaly TAS at 18+0 to 20+6 weeks b Including additional TAS for VCI at 18+0 to 20+6 weeks (for the IVF- and VCI-base pathways) and TAS for VP at 32 weeks (for the IVF-, LLP- and VCI-based pathways)

Abbreviations: IVF, in vitro fertilisation; LLP, low-lying placenta; TAS, transabdominal sonography; TVS, transvaginal sonography; VCI, velamentous cord insertion; VP, vasa praevia.

Correspondingly, the LLP-based pathway resulted in the highest number of referrals to 32-week TAS and subsequent referrals to TVS (85,407 and 2,083 referrals, respectively), followed by VCI-based screening (38,028 and 1,319 referrals, respectively). While a higher number of referrals may appear counterintuitive for a more targeted screening approach, this is in keeping with the higher incidence of LLP in the general population (10.0%) compared to VCI (1.5%) and BL/S placenta (3.1%) (see S1 Table), and should also be regarded in the overall context of fewer additional TAS scans being performed at 18+0 to 20+6 weeks as part of this targeted approach when compared with VCI-based screening (Table 3). The IVF-based pathway resulted in substantially fewer TAS and TVS referrals (834 and 66 respectively), and only 27 referrals to TVS due to incidental detection occurred in the no screening pathway (Table 3). At 32 weeks, the rate of false positive VP diagnoses was very low in all pathways, with two false positives in the LLP-based pathway and one false positive in the VCI-based pathway. VCI-based screening diagnosed the highest proportion of VP pregnancies (78.9%, 552 pregnancies) followed by the LLP-based pathway (53.5%, 371 pregnancies). 50 VP pregnancies (7.0%) were identified in the IVF-based pathway, and the no screening pathway led to the incidental detection of only 27 VP pregnancies (3.9%; Table 3). When considering a simplified measure of efficiency, the LLP-based pathway resulted in the lowest number of additional TAS scans (for VCI or VP) for each diagnosed case of VP (230 TAS scans) but also the highest number of TVS scans per diagnosed VP (5.6 TVS scans), when compared with the IVF-based (299 TAS and 1.3 TVS scans per diagnosed VP) and VCI-based (1,632 TAS and 2.4 TVS scans per diagnosed VP) pathways (Table 3). These results should however also be regarded in the context of the actual detection algorithms and rates for each pathway, as exemplified by the no screening pathway resulting in a seemingly perfect ratio of 1.0 TVS scan per diagnosed case of VP based on the incidental detection (and direct referral to confirmatory TVS) of 27 VP pregnancies during the 18+0 to 20+6 weeks routine scan.

Despite the overall incidence of VCI being equal across all four pathways, it was assumed that no VCI pregnancies were detected in the LLP-based or no screening pathways, due to VCI not being actively tested for or considered as part of the respective detection strategies in these two pathways (Table 3). 443 VCI pregnancies (3.1%) were detected in the IVF-based pathway, while 14,238 VCI pregnancies (99.1%) were detected under VCI-based screening. For the VCI-based pathway, it should also be noted that this number is considerably smaller than the 38,028 pregnancies that were referred to 32-week TAS for VP due to the false positive detection of VCI at 18+0 to 20+6 weeks.

The pathways with higher proportions of diagnosed VP cases also resulted in a higher proportion of VP pregnancies being delivered via planned Caesarean section (Table 4). In the VCI-based and LLP-based pathways, 61.6% and 42.6% of all VP pregnancies were delivered via planned Caesarean section, respectively, compared with 9.0% and 6.6% of all VP pregnancies in the IVF-based and no screening pathways. A higher proportion of VP pregnancies were therefore delivered via emergency Caesarean section (64.9% and 66.3% of all VP pregnancies, respectively) or vaginal births (26.1% and 27.1%) in the IVF-based and no screening pathways, compared to the VCI-based and LLP-based pathways (emergency Caesarean section: 32.5% and 44.1%; vaginal delivery: 5.9% and 13.3%, respectively). In line with the increased proportion of planned Caesarean sections versus vaginal births for VP pregnancies in the VCI-based and LLP-based pathways, the proportion of VP pregnancies resulting in perinatal death was substantially lower in these pathways compared to the no screening and IVF-based pathways (Table 4). The VCI-based pathway resulted in 100 perinatal deaths in VP pregnancies (14.2% of all VP pregnancies), and the LLP-based pathway resulted in 196 perinatal deaths (28.0%). Meanwhile, the IVF-based pathway resulted in 368 deaths (52.6%) and no screening resulted in 380 deaths (54.3%).

Table 4. Base case results for birth method and perinatal outcomes.

No screening IVF-based pathway LLP-based pathway VCI-based pathway
Planned Caesarean Sections for VP pregnancies, n (% of all VP pregnancies) [difference vs no screening pathway] 46 (6.6) 63 (9.0) 298 (42.6) 431 (61.6)
[+17 (+2.4)] [+252 (36.0)] [+385 (+55)]
Emergency Caesarean Sections for VP pregnancies, n (% of all VP pregnancies) [difference vs no screening pathway] 464 (66.3) 454 (64.9) 309 (44.1) 227 (32.5)
[-10 (-1.4)] [-155 (-22.2)] [-237 (-33.8)]
Vaginal deliveries for VP pregnancies, (% of all VP pregnancies) [difference vs no screening pathway] 190 (27.1) 183 (26.1) 93 (13.3) 42 (5.9)
[-7 (-1.0)] [-97 (-13.8)] [-148 (21.2)]
Perinatal deaths in VP pregnancies, n (% of VP pregnancies) [difference vs no screening pathway] 380 (54.3) 368 (52.6) 196 (28.0) 100 (14.2)
[-12 (-1.7)] [-184 (-26.3)] [280 (-40.0)]

Abbreviations: IVF, in vitro fertilisation; LLP, low-lying placenta; VCI, velamentous cord insertion; VP, vasa praevia.

Sensitivity analyses

The results of the DSA display the impact of the key model drivers on the difference between no screening and each of the IVF-based, LLP-based and VCI-based detection pathways for the number of referrals to TVS (Fig 2) and diagnosed VP cases (Fig 3). For both of these outcomes, the results of the PSA further demonstrate that joint parameter uncertainty across model inputs led to some variation in the difference between no screening and the LLP-based and VCI-based pathways in particular (Fig 4). Here, a noticeable overlap between these two pathways was observed with regards to the mean average difference versus no screening for referrals to TVS (LLP-based: 2,075 [95% CI: 391, 5,750]; VCI-based: 1,301 [95% CI: 409, 2,920]) and the number of diagnosed VP cases (LLP-based: 336 [95% CI: 70, 788]; VCI-based: 521 [95% CI: 172, 1,041]).

Fig 2. Results of the DSA for the number of referrals to TVS.

Fig 2

Upper estimate demonstrates the impact on the difference between each pathway and the no screening pathway in terms of referrals to TVS by increasing the variable; lower estimate demonstrates the impact on the referrals to TVS by decreasing the variable. Asymmetric bars are indicative of input values already being close to the ceiling value for the input type (for example, a probability of 0.9) and therefore being unable to be increased to the full extent. Abbreviations: BL/S, bilobed or succenturiate; DSA, deterministic sensitivity analysis; IVF, in vitro fertilisation; LLP, low-lying placenta; TAS, transabdominal sonography; TVS, transvaginal sonography; VCI, velamentous cord insertion; VP, vasa praevia.

Fig 3. Results of the DSA for the number of diagnosed VP cases.

Fig 3

Upper estimate demonstrates the impact on the difference between each pathway and the no screening pathway in terms of diagnosed VP pregnancies by increasing the variable; lower estimate demonstrates the impact on the number of diagnosed VP pregnancies by decreasing the variable. Asymmetric bars are indicative of input values already being close to the ceiling value for the input type (for example, a probability of 0.9) and therefore being unable to be increased to the full extent. Abbreviations: BL/S, bilobed or succenturiate; DSA, deterministic sensitivity analysis; IVF, in vitro fertilisation; LLP, low-lying placenta; TAS, transabdominal sonography; TVS, transvaginal sonography; VCI, velamentous cord insertion; VP, vasa praevia.

Fig 4. Results of the PSA for the difference versus no screening (number of referrals to TVS and number of diagnosed VP cases).

Fig 4

Upper estimate demonstrates the impact on the difference between each pathway and the no screening pathway in terms of diagnosed VP pregnancies by increasing the variable; lower estimate demonstrates the impact on the number of diagnosed VP pregnancies by decreasing the variable. Asymmetric bars are indicative of input values already being close to the ceiling value for the input type (for example, a probability of 0.9) and therefore being unable to be increased to the full extent. Abbreviations: BL/S, bilobed or succenturiate; DSA, deterministic sensitivity analysis; IVF, in vitro fertilisation; LLP, low-lying placenta; TAS, transabdominal sonography; TVS, transvaginal sonography; VCI, velamentous cord insertion; VP, vasa praevia.

Scenario analyses

The results of all scenario analyses are presented in Fig 5. The simultaneous incorporation of alternative literature values for ten key inputs in the Alternative Inputs Scenario resulted in a substantial decrease in both the proportion of diagnosed VP and detected VCI pregnancies in the VCI-based pathway, accompanied by a corresponding increase in the proportion of perinatal death in VP pregnancies; this was also observed, to a lesser degree, for the LLP-based pathway. A substantial increase in the proportion of detected VCI pregnancies was also observed in the IVF-based pathway. The proportion of diagnosed VP and perinatal death in VP pregnancies in the no screening pathway, as well as the number of referrals to TVS in all four pathways, remained comparatively unchanged.

Fig 5. Results of scenario analyses.

Fig 5

Alternative Inputs Scenario: Incorporation of alternative inputs based on alternate literature values. VP Test Accuracy Scenario: Higher test sensitivity for TAS and TVS for VP. Structural Scenario 1: Removal of TAS for VP at 32 weeks. Structural Scenario 2: Combined IVF- and LLP-based pathway. Abbreviations: BL/S, bilobed or succenturiate; IVF, in vitro fertilisation; LLP, low-lying placenta; TAS, transabdominal sonography; TVS, transvaginal sonography; UKOSS, UK Obstetric Surveillance System; VCI, velamentous cord insertion; VP, vasa praevia.

The increase of test sensitivity for TAS and TVS for VP resulted in a substantially increased proportion of diagnosed VP cases for the LLP-based (62%) and VCI-based (92%) pathways in particular, with correspondingly lower proportions of perinatal death in VP pregnancies (23% and 7% in the LLP-based and VCI-based pathway, respectively).

Removal of TAS for VP at 32 weeks in Structural Scenario 1 resulted in a substantially increased number of referrals to TVS in the LLP-based, VCI-based, and IVF-based pathways, with correspondingly increased rates of VP detection in the VCI-based and LLP-based pathways, in particular. In Structural Scenario 2, combining the IVF- and LLP-based pathways generated very similar results to the LLP-based pathway.

Discussion

The base case results of this exploratory study showed that the modelled VCI-based and LLP-based pathways led to the detection of a greater proportion of VP pregnancies and a higher number of referrals to TVS than the no screening or IVF-based pathways. These higher VP detection rates also led to a correspondingly lower proportion of VP pregnancies resulting in perinatal death. The VCI-based pathway resulted in the highest VP detection rate (78.9%) and lowest proportion of perinatal death in VP pregnancies (14.2%); however, it also resulted in the detection of almost all VCI pregnancies, compared to minimal detection of VCI in the other pathways, and required a substantially higher number of additional TAS scans which, currently, are rarely recommended in practice. In contrast, the LLP-based pathway diagnosed a lower proportion of VP (53.5%) but required significantly fewer additional TAS scans; this pathway also did not include the detection of VCI as part of its screening algorithm.

The major limitation of this modelling study is the considerable uncertainty associated with many of the model inputs due to the lack of consistent high-quality data. The evidence base available for prevalence estimates of VP and corresponding risk factors, as well as diagnostic test accuracy, is generally characterised by a high degree of heterogeneity and mixed quality of reporting [4, 14, 44]. Formal quality appraisals also indicated that available studies used to inform model parameters were generally of low or moderate quality. This applied to key parameters such as test accuracy and the incidence and impact of both VP and VCI. Therefore, an Alternative Inputs Scenario analysis was used to explore this uncertainty by applying alternative literature-derived inputs. This resulted in a pronounced decrease in the detection of VP in the VCI-based pathway below the rate of detection in the LLP-based pathway, likely driven by the considerably lower scenario input for VCI test sensitivity. This finding is further supported by the results of the PSA, which demonstrated a noticeable overlap in the number of referrals to TVS and detected VP cases for the VCI-based and LLP-based pathways. Collectively, the results of the sensitivity and scenario analyses indicate that the relative benefits of individual pathways, and especially VCI-based screening, remain uncertain to some degree and the general lack of high-quality evidence should prompt caution when interpreting the results of this exploratory analysis.

Reduction of VP-related mortality is directly linked to the VP detection rate and is therefore also impacted by the uncertainty of this latter outcome, with this also being supported by the results of a scenario analysis which applied a higher VP diagnostic test sensitivity and resulted in noticeably lower numbers of perinatal deaths in VP pregnancies. Similarly, while an intermediate measure of screening efficiency was based on VP detection as the more immediate key outcome in the model, the observed trends with regards to the number needed to screen for detecting VP in each pathway would also apply to VP-related deaths prevented, which would be the ultimate aim of any VP screening strategy.

Additional uncertainty surrounds the mortality associated with ultrasound-detected VP compared to clinically presenting VP at birth. The model base case estimated that 380 (54.3%) of 700 cases of VP would result in perinatal death without antenatal ultrasound screening. This case-fatality rate is informed by the literature on clinically presenting VP and is also aligned with the conclusions made from a UK single-centre study by Zhang et al. where the authors estimated that around half of the 21 ultrasound-detected cases of VP (in a cohort of 26,830 pregnancies) would have resulted in stillbirth if they had not been diagnosed prenatally [2, 20]. However, these estimates of VP-related mortality contrast with a 2017 national clinical surveillance study conducted in the UK where, in a cohort of approximately 750,000 pregnancies in a setting in which screening for VP is not recommended in national guidance, six deaths to VP were reported as part of the currently available preliminary results [19, 45]. Whilst the potential impact of under-reporting in this surveillance study may require further consideration, any large difference between the assumed and observed number of perinatal deaths may also be explained by the different diagnostic criteria for ultrasound-detected VP, with Zhang et al. having applied a definition based on vessels within 5 cm of the internal os as diagnostic criterion for VP [20]. This broadened diagnostic definition of VP may not correlate with VP which presents clinically in labour and a lower mortality per case detected might therefore be expected in screen detected VP. This would also impact any estimates of the number needed to screen to prevent VP-related mortality. When estimating the impact of antenatal detection strategies on VP-related mortality, caution should therefore be exercised when extrapolating outcomes from clinically presenting VP to ultrasound-detected VP.

This exploratory model is also consistent with two other, Canadian and US-based, modelling studies which investigate the cost-effectiveness of VP screening [27, 28]. Although the exploratory model presented here does not consider cost-effectiveness, the results align with these published studies with respect to the proportion of diagnosed VP under the VCI-based (as approximate to population screening) and LLP-based pathways.

One finding of the model was that the modelled LLP-based pathway resulted in a substantially higher number of referrals to TAS at 32 weeks compared to the VCI-based pathway. This should, however, also be interpreted in the context of current clinical practice. As LLP is routinely detected at the 18+0 to 20+6 week scan and women with LLP are usually re-scanned at 32 weeks [13], this already existing rate of LLP-related referrals would thus be present in any potential detection strategy in practice. Therefore, the LLP-based pathway would require only minimal additional TAS resource overall specifically for the detection of VP compared to current practice. In contrast, the VCI-based pathway would require additional screening for VCI and BL/S placenta in all pregnancies undergoing the routine fetal anomaly scan at 18+0 to 20+6 weeks. It should however be noted that this may overestimate the number of additionally required scans, as reporting of placental cord insertion during the 18+0 to 20+6 week scan may already be routinely practiced in some UK centres. Irrespective, the referral of all pregnancies with detected VCI would always result in the additional recall of large numbers of women (38,028 in the base case) with positive screening results to TAS for VP at 32 weeks and subsequent referral to TVS where indicated.

Crucially, a high proportion of the VCI pregnancies detected as part of this pathway would not be affected by VP and a substantial number of VCI pregnancies diagnosed at 18+0 to 20+6 weeks would actually be false positives (around 24,000 in the base case). The situation relating to VCI is therefore complicated, and it has also been noted that VCI, and cord anomalies more generally, currently represent an area of obstetrics which has not been well studied [46]. At the same time, some evidence points towards a small absolute increase in the risk of adverse pregnancy outcomes for VCI pregnancies [1, 46, 47], but no evidence-based interventions or management pathways are available to reduce such risks. Overdetection and false positive test results may cause unnecessary anxiety and, with a limited evidence base it may be challenging to develop high quality information to mitigate this. So while the association between VP and VCI has led to some guidelines recommending that all women are screened for VCI [9, 10], this would be a departure from current UK practice and the uncertainties relating to key elements of a screening and management pathway for such cord anomalies have been highlighted [46]. As such, there is uncertainty about the balance of clinical benefit and harm that may result from screen detection of VCI, particularly in the absence of VP. In contrast, adding the offer of testing for VP alongside already performed scans for placenta praevia in late pregnancy in a limited number of women may represent a more targeted approach compared to a VCI-based pathway in areas, like the UK, where there is no nationally recommended strategy for detection of VP or cord anomalies.

However, given the exploratory nature of the reported analyses and the considerable uncertainty associated with many of the model inputs, further investigation is required regarding the potential effect of the different detection strategies and there is a need for high-quality data to inform discussions about VP screening in the UK.

In conclusion, the results of this modelling exercise suggest that a targeted LLP-based approach could detect a substantial proportion of VP cases while avoiding the potential complications from the detection of VCI and requiring minimal changes to current clinical practice. However, without further research, future discussions about screening for VP will continue to be constrained by the lack of high-quality data encountered in this exploratory study.

Supporting information

S1 Fig. Structure of the VP screening model.

(TIF)

S1 Table. Full list of inputs, including rationale and references.

(DOCX)

S2 Table. Alternative inputs used in the Alternative Inputs scenario analysis.

(DOCX)

S1 File. SLR and MA on adverse perinatal outcomes.

(DOCX)

S2 File. Quality assessment results.

(DOCX)

S3 File. Glossary.

(DOCX)

S4 File. Model spreadsheet.

(XLSX)

Acknowledgments

The authors acknowledge Elizabeth Daly-Jones, Lead Sonographer at Imperial NHS Trust, and Hilary Goodman, Operational Manager–Antenatal Services/Screening at Hampshire Hospitals NHS Foundation Trust, for substantial contributions to study design. The authors also acknowledge Helen Bewicke-Copley MSc, Kate Hanman MSc, Hattie Cant BSc, Ania Bobrowska PhD and Annabel Griffiths PhD from Costello Medical, UK, for medical writing and editorial assistance in preparing this manuscript for publication, based on the authors’ input and direction.

Data Availability

All relevant data are included within the paper and supplementary information.

Funding Statement

This study was funded by the UK NSC. The views and opinions expressed by the authors in this publication are not necessarily those of the UK NSC.

References

  • 1.UK National Screening Committee. Screening for vasa praevia in the second trimester of pregnacy—External review against programme appraisal criteria for the UK National Screening Committee (UK NSC). Available from: https://view-health-screening-recommendations.service.gov.uk/vasa-praevia/. 2017. [Google Scholar]
  • 2.Oyelese Y, Catanzarite V, Prefumo F, Lashley S, Schachter M, Tovbin Y, et al. Vasa previa: the impact of prenatal diagnosis on outcomes. Obstetrics and gynecology. 2004;103(5 Pt 1):937–42. doi: 10.1097/01.AOG.0000123245.48645.98 [DOI] [PubMed] [Google Scholar]
  • 3.Catanzarite V, Maida C, Thomas W, Mendoza A, Stanco L, Piacquadio KM. Prenatal sonographic diagnosis of vasa previa: ultrasound findings and obstetric outcome in ten cases. Ultrasound in obstetrics & gynecology: the official journal of the International Society of Ultrasound in Obstetrics and Gynecology. 2001;18(2):109–15. doi: 10.1046/j.1469-0705.2001.00448.x [DOI] [PubMed] [Google Scholar]
  • 4.Ruiter L, Kok N, Limpens J, Derks JB, de Graaf IM, Mol B, et al. Incidence of and risk indicators for vasa praevia: a systematic review. BJOG: an international journal of obstetrics and gynaecology. 2016;123(8):1278–87. doi: 10.1111/1471-0528.13829 [DOI] [PubMed] [Google Scholar]
  • 5.Vasa Praevia: Diagnosis and Management (RCOG Green‐top Guideline No. 27b). Available from: https://www.rcog.org.uk/guidance/browse-all-guidance/green-top-guidelines/vasa-praevia-diagnosis-and-management-green-top-guideline-27b/ 2018. [DOI] [PubMed]
  • 6.Suekane T, Tachibana D, Pooh RK, Misugi T, Koyama M. Type-3 vasa previa: normal umbilical cord insertion cannot exclude vasa previa in cases with abnormal placental location. Ultrasound in obstetrics & gynecology: the official journal of the International Society of Ultrasound in Obstetrics and Gynecology. 2019;55(4):556–7. doi: 10.1002/uog.20347 [DOI] [PubMed] [Google Scholar]
  • 7.Ranzini AC, Oyelese Y. How to screen for vasa previa. Ultrasound in obstetrics & gynecology: the official journal of the International Society of Ultrasound in Obstetrics and Gynecology. 2020. doi: 10.1002/uog.23520 [DOI] [PubMed] [Google Scholar]
  • 8.Gagnon R, Morin L, Bly S, Butt K, Cargill Y, Denis N, et al. Guidelines for the Management of Vasa Previa. J Obstet Gynaecol Can 2009;31(8): 748–53. doi: 10.1016/S1701-2163(16)34282-7 [DOI] [PubMed] [Google Scholar]
  • 9.Royal Australian and New Zealand College of Obstetricians and Gynaecologists: Management of Vasa Praevia. Available from: https://www.asum.com.au/wp-content/uploads/2015/09/Management-of-Vasa-Praevia.pdf. 2014.
  • 10.Vintzileos AM, Ananth CV, Smulian JC. Using ultrasound in the clinical management of placental implantation abnormalities. American journal of obstetrics and gynecology. 2015;213(4 Suppl):S70-7. doi: 10.1016/j.ajog.2015.05.059 [DOI] [PubMed] [Google Scholar]
  • 11.Gross A, Markota Ajd B, Specht C, Scheier M. Systematic screening for vasa previa at the 20-week anomaly scan. Acta Obstet Gynecol Scand. 2021. doi: 10.1111/aogs.14205 [DOI] [PubMed] [Google Scholar]
  • 12.National Insititute for Health and Care Excellence: Antenatal Care (NG201). Available from: https://www.nice.org.uk/guidance/ng201. 2021.
  • 13.National Health Service: Fetal Anomaly Screening Programme Handbook. Available from: https://www.gov.uk/government/publications/fetal-anomaly-screening-programme-handbook. 2022.
  • 14.Pavalagantharajah S, Villani LA, D’Souza R. Vasa previa and associated risk factors: a systematic review and meta-analysis. Am J Obstet Gynecol MFM. 2020;2(3):100117. doi: 10.1016/j.ajogmf.2020.100117 [DOI] [PubMed] [Google Scholar]
  • 15.Buchanan-Hughes A, Bobrowska A, Visintin C, Attilakos G, Marshall J. Velamentous cord insertion: results from a rapid review of incidence, risk factors, adverse outcomes and screening. Systematic Reviews. 2020;9(1):147. doi: 10.1186/s13643-020-01355-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Danish Society of Obstetrics and Gynecology: Velamentous Cord Insertion and Vasa Previa [English Summary]. Available from: https://nfog.org/wp-content/uploads/2018/05/Velamentous-Cord-Insertion-and-Vasa-Previa.pdf. 2018.
  • 17.Ioannou C, Wayne C. Diagnosis and management of vasa previa: a questionnaire survey. Ultrasound in obstetrics & gynecology: the official journal of the International Society of Ultrasound in Obstetrics and Gynecology. 2010;35(2):205–9. doi: 10.1002/uog.7466 [DOI] [PubMed] [Google Scholar]
  • 18.Coleman G, Venables H. Is ultrasound screening for vasa praevia clinically justified and a financially viable screening test? A literature review. Ultrasound. 2018;26(1):6–15. doi: 10.1177/1742271X17747139 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.O’Connor M, Nair M, Kurinczuk J, Kight M. UKOSS Annual Report 2016. Oxford: National Perinatal Epidemiology Unit. 2016. [Google Scholar]
  • 20.Zhang W, Geris S, Beta J, Ramadan G, Nicolaides KH, Akolekar R. Prevention of stillbirths: impact of a two-stage screening for vasa previa. Ultrasound in Obstetrics & Gynecology. 2019. doi: 10.1002/uog.21953 [DOI] [PubMed] [Google Scholar]
  • 21.Speechley M, Kunnilathu A, Aluckal E, Balakrishna MS, Mathew B, George EK. Screening in Public Health and Clinical Care: Similarities and Differences in Definitions, Types, and Aims—A Systematic Review. J Clin Diagn Res. 2017;11(3):Le01–le4. doi: 10.7860/JCDR/2017/24811.9419 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Bobrowska A, Murton M, Seedat F, Visintin C, Mackie A, Steele R, et al. Targeted screening in the UK: A narrow concept with broad application. Lancet Reg Health Eur. 2022;16:100353. doi: 10.1016/j.lanepe.2022.100353 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Grootendorst DC, Jager KJ, Zoccali C, Dekker FW. Screening: why, when, and how. Kidney Int. 2009;76(7):694–9. doi: 10.1038/ki.2009.232 [DOI] [PubMed] [Google Scholar]
  • 24.Szklo M. Selective screening: when should screening be limited to high-risk individuals? J Gen Intern Med. 1990;5(5 Suppl):S47–9. doi: 10.1007/BF02600841 [DOI] [PubMed] [Google Scholar]
  • 25.Gray A, Clarke P, Wolstenholme J, Wordsworth S. Applied Methods of Cost-effectiveness Analysis in Healthcare: Oxford University Press; 2010. [Google Scholar]
  • 26.Roberts M, Russell LB, Paltiel AD, Chambers M, McEwan P, Krahn M. Conceptualizing a model: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force-2. Medical decision making: an international journal of the Society for Medical Decision Making. 2012;32(5):678–89. doi: 10.1177/0272989X12454941 [DOI] [PubMed] [Google Scholar]
  • 27.Cipriano LE, Barth WH Jr, Zaric GS. The cost-effectiveness of targeted or universal screening for vasa praevia at 18–20 weeks of gestation in Ontario. BJOG: an international journal of obstetrics and gynaecology. 2010;117(9):1108–18. doi: 10.1111/j.1471-0528.2010.02621.x [DOI] [PubMed] [Google Scholar]
  • 28.Sinkey RG, Odibo AO. Vasa previa screening strategies: decision and cost-effectiveness analysis. Ultrasound in obstetrics & gynecology: the official journal of the International Society of Ultrasound in Obstetrics and Gynecology. 2018;52(4):522–9. doi: 10.1002/uog.19098 [DOI] [PubMed] [Google Scholar]
  • 29.Bevan D, White A, Marshall J, Peckham C. Modelling the effect of the introduction of antenatal screening for group B Streptococcus (GBS) carriage in the UK. BMJ Open. 2019;9(3):e024324. doi: 10.1136/bmjopen-2018-024324 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Society for Maternal and Fetal Medicine: Diagnosis and management of vasa previa. Available from: https://www.smfm.org/publications/215-diagnosis-and-management-of-vasa-previa. 2015.
  • 31.Munn Z, Moola S, Riitano D, Lisy K. The development of a critical appraisal tool for use in systematic reviews addressing questions of prevalence. Int J Health Policy Manag. 2014;3(3):123–8. doi: 10.15171/ijhpm.2014.71 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Centre for Evidence-Based Medicine: Critical Appraisal of Prognostic Studies. Available from: https://www.cebm.ox.ac.uk/resources/ebm-tools/critical-appraisal-tools. 2018.
  • 33.Whiting PF, Rutjes AW, Westwood ME, Mallett S, Deeks JJ, Reitsma JB, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Annals of internal medicine. 2011;155(8):529–36. doi: 10.7326/0003-4819-155-8-201110180-00009 [DOI] [PubMed] [Google Scholar]
  • 34.Drummond MF, Jefferson TO. Guidelines for authors and peer reviewers of economic submissions to the BMJ. BMJ (Clinical research ed). 1996;313:275–83. doi: 10.1136/bmj.313.7052.275 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Office for National Statistics. Conceptions in England and Wales: 2016 2018 [25th May 2018]. Available from: https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/conceptionandfertilityrates/bulletins/conceptionstatistics/2016.
  • 36.Ebbing C, Kiserud T, Johnsen SL, Albrechtsen S, Rasmussen S. Prevalence, risk factors and outcomes of velamentous and marginal cord insertions: a population-based study of 634,741 pregnancies. PloS one. 2013;8(7):e70380. doi: 10.1371/journal.pone.0070380 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Suzuki S, Kato M. Clinical Significance of Pregnancies Complicated by Velamentous Umbilical Cord Insertion Associated With Other Umbilical Cord/Placental Abnormalities. Journal of clinical medicine research. 2015;7(11):853–6. doi: 10.14740/jocmr2310w [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Schachter M, Tovbin Y, Arieli S, Friedler S, Ron-El R, Sherman D. In vitro fertilization is a risk factor for vasa previa. Fertility and sterility. 2002;78(3):642–3. doi: 10.1016/s0015-0282(02)03253-3 [DOI] [PubMed] [Google Scholar]
  • 39.Rosenberg T, Pariente G, Sergienko R, Wiznitzer A, Sheiner E. Critical analysis of risk factors and outcome of placenta previa. Archives of gynecology and obstetrics. 2011;284(1):47–51. doi: 10.1007/s00404-010-1598-7 [DOI] [PubMed] [Google Scholar]
  • 40.Sepulveda W, Rojas I, Robert JA, Schnapp C, Alcalde JL. Prenatal detection of velamentous insertion of the umbilical cord: a prospective color Doppler ultrasound study. Ultrasound in obstetrics & gynecology: the official journal of the International Society of Ultrasound in Obstetrics and Gynecology. 2003;21(6):564–9. doi: 10.1002/uog.132 [DOI] [PubMed] [Google Scholar]
  • 41.Bronsteen R, Whitten A, Balasubramanian M, Lee W, Lorenz R, Redman M, et al. Vasa previa: clinical presentations, outcomes, and implications for management. Obstetrics and gynecology. 2013;122(2 Pt 1):352–7. doi: 10.1097/AOG.0b013e31829cac58 [DOI] [PubMed] [Google Scholar]
  • 42.Wilson EB. Probable Inference, the Law of Succession, and Statistical Inference. Journal of the American Statistical Association. 1927;22(158):209–12. doi: 10.1080/01621459.1927.10502953 [DOI] [Google Scholar]
  • 43.Briggs AH, Weinstein MC, Fenwick EA, Karnon J, Sculpher MJ, Paltiel AD. Model parameter estimation and uncertainty analysis: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force Working Group-6. Medical decision making: an international journal of the Society for Medical Decision Making. 2012;32(5):722–32. doi: 10.1177/0272989X12458348 [DOI] [PubMed] [Google Scholar]
  • 44.Ruiter L, Kok N, Limpens J, Derks JB, de Graaf IM, Mol BW, et al. Systematic review of accuracy of ultrasound in the diagnosis of vasa previa. Ultrasound in obstetrics & gynecology: the official journal of the International Society of Ultrasound in Obstetrics and Gynecology. 2015;45(5):516–22. doi: 10.1002/uog.14752 [DOI] [PubMed] [Google Scholar]
  • 45.Attilakos G, David A, Brocklehurst P, Knight M. Vasa praevia: A national UK study using the UK Obstetric Surveillance System (UKOSS). BJOG (Oral Abstracts). 2017;124(S2):9. [Google Scholar]
  • 46.Ismail KI, Hannigan A, O’Donoghue K, Cotter A. Abnormal placental cord insertion and adverse pregnancy outcomes: a systematic review and meta-analysis. Syst Rev. 2017;6(1):242. doi: 10.1186/s13643-017-0641-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.de Los Reyes S, Henderson J, Eke AC. A systematic review and meta-analysis of velamentous cord insertion among singleton pregnancies and the risk of preterm delivery. International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics. 2018;142(1):9–14. doi: 10.1002/ijgo.12489 [DOI] [PMC free article] [PubMed] [Google Scholar]

Decision Letter 0

Vanessa Carels

7 Jul 2022

PONE-D-21-26780

The impact of ultrasound-based antenatal screening strategies to detect vasa praevia in the United Kingdom: an exploratory study using decision analytic modelling methods

PLOS ONE

Dear Dr. Ruban-Fell,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please note that we have only been able to secure a single reviewer to assess your manuscript. We are issuing a decision on your manuscript at this point to prevent further delays in the evaluation of your manuscript. Please be aware that the editor who handles your revised manuscript might find it necessary to invite additional reviewers to assess this work once the revised manuscript is submitted. However, we will aim to proceed on the basis of this single review if possible. 

Please submit your revised manuscript by Aug 20 2022 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

Vanessa Carels

Staff Editor

PLOS ONE

Journal Requirements:

When submitting your revision, we need you to address these additional requirements.

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at 

https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and 

https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

2. Please expand the acronym “UK NSC” (as indicated in your financial disclosure) so that it states the name of your funders in full.

This information should be included in your cover letter; we will change the online submission form on your behalf.

3. Thank you for stating the following in the Competing Interests section: "All authors have completed the ICJME uniform disclosure form at www.icmje.org/coi_disclosure.pdf (available on request from the corresponding author) and declare: no support from any organisation for the submitted work other than that described above; JM, CV, and AM are employees of the UK NSC secretariat which funded the submitted work; CH is a member of the UK NSC; BT and ORA are members of the Fetal, Maternal and Child Health Group (FMCH) of the UK NSC; GA is a Council member of the Royal College of Obstetricians and Gynaecologists and a Steering Committee member of the UK Obstetric Surveillance System; BRF, JK and THC are, or were formerly, employed by Costello Medical which was commissioned for the model development and supportive work by the UK NSC; no other relationships or activities that could appear to have influenced the submitted work."

Please confirm that this does not alter your adherence to all PLOS ONE policies on sharing data and materials, by including the following statement: "This does not alter our adherence to  PLOS ONE policies on sharing data and materials.” (as detailed online in our guide for authors http://journals.plos.org/plosone/s/competing-interests).  If there are restrictions on sharing of data and/or materials, please state these. Please note that we cannot proceed with consideration of your article until this information has been declared. 

Please include your updated Competing Interests statement in your cover letter; we will change the online submission form on your behalf.

4. In your Data Availability statement, you have not specified where the minimal data set underlying the results described in your manuscript can be found. PLOS defines a study's minimal data set as the underlying data used to reach the conclusions drawn in the manuscript and any additional data required to replicate the reported study findings in their entirety. All PLOS journals require that the minimal data set be made fully available. For more information about our data policy, please see http://journals.plos.org/plosone/s/data-availability.

Upon re-submitting your revised manuscript, please upload your study’s minimal underlying data set as either Supporting Information files or to a stable, public repository and include the relevant URLs, DOIs, or accession numbers within your revised cover letter. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories. Any potentially identifying patient information must be fully anonymized.

Important: If there are ethical or legal restrictions to sharing your data publicly, please explain these restrictions in detail. Please see our guidelines for more information on what we consider unacceptable restrictions to publicly sharing data: http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions. Note that it is not acceptable for the authors to be the sole named individuals responsible for ensuring data access.

We will update your Data Availability statement to reflect the information you provide in your cover letter.

5. 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. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

********** 

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

********** 

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

********** 

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

********** 

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: The authors carried out an exploratory study using decision analytic modelling methods examining various targeted screening methods for vasa previa in the United Kingdom. They evaluate screening for vasa previa in a hypothetical UK population in patients with low-lying placentas, velamentous cord insertions, and pregnancies resulting from IVF, and also with no screening.

They find that examining VCI based screening and low-lying placentas resulted in the highest detection rates and lowest rates of perinatal death.

The manuscript is well-written and the methodology is sound. The conclusions are supported by the methods. However, any model is only as good as the assumptions put into it.

Perhaps a flaw of this study, and of several others is the question: “What constitutes “screening” for vasa previa?” I suggest that the authors define clearly what is meant by “screening” for vasa previa. A flaw of this study and of the UK screening evaluations at present is that it makes the assumption that screening involves transvaginal ultrasound with Doppler. This is more diagnosis, and the authors continue perpetuating the myth that vasa previa cannot be routinely screened for (which could be done via routinely identifying placental cord insertion and a Doppler sweep of the lower uterine segment.

How do THESE authors define “screening” for vasa previa? Perhaps the only thing I find in their manuscript is “recall at 32 weeks to perform further TAS to confirm the presence of VP (representing a population screening strategy based on a risk factor not currently reported in UK practice)” (Line 118)

The authors also do not examine the role of universal screening as part of their study. Wouldn’t it be worth seeing how universal screening performed in this context? Perhaps tied into this is the question above: “What constitutes screening for vasa previa?

The authors state in line 122 “there is no independently significant association between multiple pregnancies and VP incidence.” Is this actually true?

The UK NSC estimate of the incidence of VP of 0.03% of pregnancies is likely an underestimation. The authors have addressed this. However, the UKOSS may have its own inherent flaws.

An important finding is that clearly using IVF alone as the screening for vasa previa will detect few cases, and lead to the highest number of deaths from VP.

********** 

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

**********

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (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. Registration is free. 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 PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2022 Dec 20;17(12):e0279229. doi: 10.1371/journal.pone.0279229.r002

Author response to Decision Letter 0


1 Sep 2022

Reviewer 1

Question/Comment: The authors carried out an exploratory study using decision analytic modelling methods examining various targeted screening methods for vasa previa in the United Kingdom. They evaluate screening for vasa previa in a hypothetical UK population in patients with low-lying placentas, velamentous cord insertions, and pregnancies resulting from IVF, and also with no screening. They find that examining VCI based screening and low-lying placentas resulted in the highest detection rates and lowest rates of perinatal death.

The manuscript is well-written and the methodology is sound. The conclusions are supported by the methods. However, any model is only as good as the assumptions put into it..

Response: We thank the reviewer for this comment and the positive assessment of the presented manuscript. We agree with the raised point that the reliability of a model is largely dependent on the reliability of the underlying assumptions. One of the reasons we undertook this study was to draw attention to the need for research in this important area, and we hope that the inclusion of a full set of sensitivity and relevant scenario analyses as part of the presented results will also go towards accounting for the reliance on assumptions and limited available data.

Already with regards to characterisation of the different modelled strategies (which are also discussed in more detail further below), the reviewer might note that one of the strategies (velamentous cord insertion (VCI)) has been designed to represent an universal, or population, screening strategy and another (IVF-based) strategy has been described as a representation of risk assessment in routine clinical care.

Question/Comment: Perhaps a flaw of this study, and of several others is the question: “What constitutes “screening” for vasa previa?” I suggest that the authors define clearly what is meant by “screening” for vasa previa. A flaw of this study and of the UK screening evaluations at present is that it makes the assumption that screening involves transvaginal ultrasound with Doppler. This is more diagnosis, and the authors continue perpetuating the myth that vasa previa cannot be routinely screened for (which could be done via routinely identifying placental cord insertion and a Doppler sweep of the lower uterine segment.

How do THESE authors define “screening” for vasa previa? Perhaps the only thing I find in their manuscript is “recall at 32 weeks to perform further TAS to confirm the presence of VP (representing a population screening strategy based on a risk factor not currently reported in UK practice)” (Line 118).

Response: Many thanks for this comment. We have tried to address the request to state an overall definition of screening by adding this to the relevant paragraph in the Introduction. We have also included further argumentation (both within the Introduction as well as the description of the different strategies within the Methods section) to highlighted the reasoning behind drawing a distinction between the VCI strategy, as an example of universal/population screening, and the LLP strategy as an example of targeted screening (please note that we have also included an additional reference for this term/concept in the form of a recently published review by Bobrowska et al. 2022).

Interestingly, available guidance by the Royal Australian and New Zealand College of Obstetricians and Gynaecologists (RANZCOG) also refers to a universal screening strategy based on the detection of VCI (followed by confirmation including TVS); we take this as some confirmation of our use of the term.

We acknowledge that, while concepts and categories aim to assist orientation to problems, they are always also open to debate. We hope that the amendments we have provided will help the reviewer, as well as the eventual reader, to reflect on the conceptual differences between the strategies.

Regarding the point about transvaginal sonography (TVS), we would like to emphasise that we agree with the reviewer that TVS is a diagnostic procedure in this context and that abdominal ultrasound would constitute the screening procedure. However, it is important to consider the throughput from screening to diagnostic services and one of the aims of the paper is to also explore this aspect of the different strategies described in the model. We would also like to refer again to the available RANZCOG guidance as another example, outside of the UK context, that considers a confirmatory step (including TVS) as part of their recommended universal screening strategy, providing additional support for the inclusion of this step as part of our modelled strategy (which was initially informed and validated through consultation with a selection of relevant UK experts).

Question/Comment: The authors also do not examine the role of universal screening as part of their study. Wouldn’t it be worth seeing how universal screening performed in this context? Perhaps tied into this is the question above: “What constitutes screening for vasa previa?

Response: Many thanks for this comment. We hope that we have addressed this concern as part of the above response and the corresponding amendments to the manuscript.

In keeping with the RANZCOG guideline, we consider the VCI-based strategy to be a suitable universal, or population, screening strategy, whilst also recognising that this may be open to debate.

Question/Comment: The authors state in line 122 “there is no independently significant association between multiple pregnancies and VP incidence.” Is this actually true?

Response: Many thanks for this query. The statement in question is informed by a thorough literature review commissioned by the UK NSC, which is further corroborated by the findings of a widely cited systematic literature review/meta-analysis performed by Ruiter et al. 2016 (now also added as supporting reference for this sentence in the manuscript).

However, we acknowledge that both publications further state that these findings appear to be in contradiction to previous studies (e.g. Ruiter et al. mention that “most authors of case reports report multiple pregnancies as a risk indicator for VP; however, our data fail to support this finding”). As such, we have included some additional wording to the relevant sentence, to specify that the focus on singleton pregnancies is a simplifying assumption based on findings indicating no significant association between multiple pregnancies and VP incidence.

Question/Comment: The UK NSC estimate of the incidence of VP of 0.03% of pregnancies is likely an underestimation. The authors have addressed this. However, the UKOSS may have its own inherent flaws.

Response: Many thanks for this observation. We fully agree with the stated issue of obtaining robust relevant incidence estimates for this rare condition to use as input in the model. However, we hope that this is sufficiently accounted for by the consideration of relevant scenario analyses, as well as the already included discussion of the general parameter uncertainty (pointing out the prevalence of VP in particular) and the UKOSS study specifically (in the context of diagnostic criteria and the possible discrepancy between ultrasound-detected and clinically presenting VP).

Question/Comment: An important finding is that clearly using IVF alone as the screening for vasa previa will detect few cases, and lead to the highest number of deaths from VP.

Response: Many thanks, we agree with this comment and the assessment of the results for the IVF-based strategy in particular.

Journal Requirements

Question/Comment: Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming.

Response: We can confirm that, to our understanding, the manuscript adheres to the relevant style requirements.

Question/Comment: Please expand the acronym “UK NSC” (as indicated in your financial disclosure) so that it states the name of your funders in full. Please state what role the funders took in the study. If the funders had no role, please state: "The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript." If this statement is not correct you must amend it as needed. This information should be included in your cover letter; we will change the online submission form on your behalf.

Response: Please find the correspondingly updated funding statement below.

“This study was funded by the UK National Screening Committee (UK NSC); the author group included employees (JM, CV, AM) and members (CH) of the Committee, or its subgroups (BT, ORA), who contributed to the study design, data collection and analysis, decision to publish, and preparation of the manuscript. The views and opinions expressed by the authors in this publication are not necessarily those of the UK NSC.”

Question/Comment: Please confirm that the statements provided in the Competing Interests sections do not alter your adherence to all PLOS ONE policies on sharing data and materials, by including the following statement: "This does not alter our adherence to PLOS ONE policies on sharing data and materials.” If there are restrictions on sharing of data and/or materials, please state these. Please note that we cannot proceed with consideration of your article until this information has been declared.

Please include your updated Competing Interests statement in your cover letter; we will change the online submission form on your behalf.

Response: Please find the correspondingly updated Competing Interests statement below.

“All authors have completed the ICJME uniform disclosure form at www.icmje.org/coi_disclosure.pdf (available on request from the corresponding author) and declare: no support from any organisation for the submitted work other than that described above; JM, CV, and AM are employees of the UK NSC secretariat which funded the submitted work; CH is a member of the UK NSC; BT and ORA are members of the Fetal, Maternal and Child Health Group (FMCH) of the UK NSC; GA is a Council member of the Royal College of Obstetricians and Gynaecologists and a Steering Committee member of the UK Obstetric Surveillance System; BRF, JK and THC are, or were formerly, employed by Costello Medical which was commissioned for the model development and supportive work by the UK NSC; no other relationships or activities that could appear to have influenced the submitted work.

The above statement does not alter our adherence to PLOS ONE policies on sharing data and materials. ”

Question/Comment: In your Data Availability statement, you have not specified where the minimal data set underlying the results described in your manuscript can be found. PLOS defines a study's minimal data set as the underlying data used to reach the conclusions drawn in the manuscript and any additional data required to replicate the reported study findings in their entirety. All PLOS journals require that the minimal data set be made fully available. For more information about our data policy, please see http://journals.plos.org/plosone/s/data-availability.

Upon re-submitting your revised manuscript, please upload your study’s minimal underlying data set as either Supporting Information files or to a stable, public repository and include the relevant URLs, DOIs, or accession numbers within your revised cover letter. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories. Any potentially identifying patient information must be fully anonymized.

Important: If there are ethical or legal restrictions to sharing your data publicly, please explain these restrictions in detail. Please see our guidelines for more information on what we consider unacceptable restrictions to publicly sharing data: http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions. Note that it is not acceptable for the authors to be the sole named individuals responsible for ensuring data access.

We will update your Data Availability statement to reflect the information you provide in your cover letter.

Response: We can confirm that the Microsoft Excel-based model (suitable for replicating all results presented in the submitted manuscript) has now been made available and uploaded as supporting information (S4 File: Model spreadsheet).

Question/Comment: 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. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

Response: We can confirm that the list of references is still complete and correct; an additional reference (Bobrowska et al. 2022) has been included in response to one of the peer review comments and other reference information (e.g. hyperlinks) have been updated where required.

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 1

Yinka Oyelese

20 Oct 2022

PONE-D-21-26780R1The impact of ultrasound-based antenatal screening strategies to detect vasa praevia in the United Kingdom: an exploratory study using decision analytic modelling methodsPLOS ONE

Dear Dr. Ruban-Fell,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

==============================

ACADEMIC EDITOR: The initial submission was only reviewed by a single reviewer, myself. Consequently, when the revised version was submitted, it was decided to send it out for review by 2 new reviewers. The reviews are favorable overall, and we anticipate that subject to satisfactorily addressing the concerns of reviewer 2, the manuscript should be acceptable for publication.I do have a few concerns. 1. You have referred to the Australia and New Zealand guidelines. These guidelines do recommend identification of placental cord insertion where feasible. Kindly address this in your revision. Please see the attached file and also the link below.https://onlinelibrary.wiley.com/doi/pdf/10.1002/sono.12222 2. Reference 18 is an oral abstract reference. To my knowledge, this data was never published. Please only include published or accepted manuscripts as references.==============================

Please submit your revised manuscript by Dec 04 2022 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

We look forward to receiving your revised manuscript.

Kind regards,

Yinka Oyelese

Guest Editor

PLOS ONE

Journal Requirements:

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. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

Reviewer #1. My comments from the previous review have been adequately and satisfactorily addressed.

Reviewer #2: All comments have been addressed

Reviewer #3: (No Response)

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

Reviewer #2: Partly

Reviewer #3: Partly

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #2: Yes

Reviewer #3: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

Reviewer #2: Yes

Reviewer #3: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

Reviewer #2: Yes

Reviewer #3: Yes

**********

6. Review Comments to the Author

Reviewer #2: The authors tackled very important topic of targeted screening and carried out an exploratory study using decision analytic modelling methods examining various targeted screening methods for vasa previa in the United Kingdom. They find that examining VCI based screening and low-lying placentas resulted in the highest detection rates and lowest rates of perinatal death.

Although I am not sure regarding the strength of the methodology (although it sounds) this well written manuscript. The conclusions are supported by the methods. However, I agree with other reviewer comment that any model is only as good as the assumptions put into it.. Furthermore, the authors do not examine the role of universal screening and another a flaw of this study is the question: “What constitutes “screening” for vasa previa….

Neve the less the authors address the remarks and flaws raised. This is interesting, well written and important study theretofore I recommend accept it.

Reviewer #3: The authors of this UK based study explore targeted screening based on IVF pregnancy, low lying placenta and velamentous cord insertion, compared to no screening. They conclude, using a decision analytical tree method, that screening for VP based on those pregnancies affected by low lying placenta is potentially the most efficient method, avoiding false positive diagnoses and having least impact on the current care pathway.

In Lines 93-94 they state that “The overall purpose of this work was to make a practical contribution to the evolving discussion about the antenatal detection of VP in the UK; this was achieved by presenting here an analysis of four possible detection pathways for VP”. This the authors have done using generally reasonable assumptions. However, I am struck that the screening/diagnostic phase of ascertainment of VP in this study is assumed to be by TAS at 32 weeks, when cord insertion and the presence of low lying placenta can be determined with a high degree of certainty at the mid trimester scan (as discussed in reference 7 that the authors cite). Hence what is missing from this analysis is a policy of referral for TAS/TVS at 32 weeks where there is LLP or VCI at the routine mid trimester scan. This would dramatically reduce the number of additional 32 week scans required while very modestly increasing the length of a mid trimester scan and only in those units that don’t already look for cord insertion, as all do already for LLP.

Lines 99-100: The VP screening model was programmed in Microsoft Excel and used a decision-analytic tree structure to explore the effects of four potential detection pathways in a hypothetical one-year UK pregnancy cohort.

-What was the assumed size of this cohort? I cannot see this defined anywhere, except in table 3 862, 785 pregnancies are referred to.

Lines 124-126: In the VCI-based pathway, additional testing for VCI and BL/S placenta specifically aimed at establishing the risk of VP would be performed during the 18+0 to 20+6 week scan, with positive detection prompting a recall at 32 weeks to perform further TAS to confirm the presence of VP (representing a population screening strategy based on a risk factor which is sought for the sole purpose of and preventing adverse outcomes from VP, and which is not currently reported in UK practice).

-it is not clear what is the screening process: is it a TA scan at 18-20 weeks, followed by a further TAS at 32 weeks, and then a TVS as the diagnostic test? Sorry if I have missed this but if it is submerged in the text somewhere it needs to be clearer, possibly by means of a flow diagram. If the authors are suggesting (as I state above) that LLP and VCI screening can be carried out at 18-20+6 weeks, this would hugely reduce the estimate of additional 32 week TAS scans referred to in Table 3 in the VCXI pathway.

Lines 132-133: In all pathways, pregnancies that underwent TAS at 32 weeks were also followed-up by TVS for VP, if VP could not be excluded. Incidental detection of VP across all pregnancies was also accounted for in all four pathways.

-TAS cannot exclude VP, TVS can. The normal pathway is TAS for screening and TVS for diagnosis, I am curious to know why the authors suggest that this should be inverted? In other words, once VP is suspected then a TVS should be performed, not another TAS, which would in any event require another TVS.

Line 149: ….workshops involving six UK clinical experts (GA, BT, NT, AM, EDJ, HG).

-How were the clinical experts chosen?

Lines 325-330. The base case results of this exploratory study showed that the modelled VCI-based and LLP-based pathways led to the detection of a greater proportion of VP pregnancies and a higher number of referrals to TVS than the no screening or IVF-based pathways. These higher VP detection rates also led to a correspondingly lower proportion of VP pregnancies resulting in perinatal death. The VCI-based pathway resulted in the highest VP detection rate (78.9%) and lowest proportion of perinatal death in VP pregnancies (14.2%); however, it also resulted in the detection of almost all VCI pregnancies, compared to minimal detection of VCI in the other pathways, and required a substantially higher number of additional TAS scans which, currently, are rarely recommended in practice.

-is TVS the mode of diagnosis, in which case why are additional TAS referenced?

Lines 356-360: This case-fatality rate is informed by the literature on clinically presenting VP and is also aligned with the conclusions made from a UK single-centre study by Zhang et al. where the authors estimated that around half of the 21 ultrasound-detected cases of VP (in a cohort of 26,830 pregnancies) would have resulted in stillbirth if they had not been diagnosed prenatally.[2, 20] However, these estimates of VP-related mortality contrast with a 2017 national clinical surveillance study conducted in the UK where, in a cohort of approximately 750,000 pregnancies, six deaths to VP were reported.[18]

-It is true that the estimates of VP and mortality associated with it vary. The authors reference a UKOSS study (ref 18) which is an abstract and contains incomplete information. It is unusual that the UKOSS study on VP appears never to have been published, and this limits the robustness of the estimates given. Nevertheless UKOSS is a surveillance system and very likely under-estimates the true incidence of VP. The authors should comment on this point.

Table 3: The premise that an additional TAS (presumably at 32 weeks) would be required in 862,785 women to screen for VCI need some explanation. Many UK units routinely report cord insertion-this takes around 30 seconds as part of the 18-20 week (or indeed 11-14 week) scan.

**********

Attachment

Submitted filename: Vasa-Praevia(5).pdf

PLoS One. 2022 Dec 20;17(12):e0279229. doi: 10.1371/journal.pone.0279229.r004

Author response to Decision Letter 1


1 Dec 2022

Editor

Question/Comment: You have referred to the Australia and New Zealand guidelines. These guidelines do recommend identification of placental cord insertion where feasible. Kindly address this in your revision.

Response: As suggested, we have now included additional wording in the Introduction to make explicit reference to the RANZCOG guideline, as an example of available guidance in the context of VCI as possible candidate for population screening.

Further to this, we would like to highlight again the already included reference to the RANZCOG guideline as part of the Discussion, when mentioning the existence of guidance that does indeed recommend VCI-based screening.

Question/Comment: Reference 18 is an oral abstract reference. To my knowledge, this data was never published. Please only include published or accepted manuscripts as references.

Response: We agree with the Editor that the full results of the UKOSS study of vasa praevia do not appear to have been published to date; as such, we would suggest the following amendments to the manuscript:

- Instead of referring to the abstract when discussing the increasing interest in this area as part of the Introduction, we have now included a reference to the UKOSS 2016 annual report which features a section on vasa praevia

- In acknowledgment of the fact that the previously included UKOSS scenario analysis was based on unpublished data obtained through personal communication with the principal investigator (GA), we have now excluded this scenario from the manuscript

- We would suggest to still include the original reference to the abstract when using this to highlight the difference in reported VP mortality rates in the Discussion, as we consider this to be an important point in the discussion of screening and the UKOSS-related statement to be sufficiently supported by the data from the abstract (as published in a supplementary issue of the BJOG; https://obgyn.onlinelibrary.wiley.com/doi/10.1111/1471-0528.14585) – however, in order to acknowledge the nature of the reference, we have also included additional wording to highlight that only preliminary results from the UKOSS study are currently available

Reviewer 1

Question/Comment: The authors tackled very important topic of targeted screening and carried out an exploratory study using decision analytic modelling methods examining various targeted screening methods for vasa previa in the United Kingdom. They find that examining VCI based screening and low-lying placentas resulted in the highest detection rates and lowest rates of perinatal death.

Although I am not sure regarding the strength of the methodology (although it sounds) this well written manuscript. The conclusions are supported by the methods. However, I agree with other reviewer comment that any model is only as good as the assumptions put into it.. Furthermore, the authors do not examine the role of universal screening and another a flaw of this study is the question: “What constitutes “screening” for vasa previa….

Neve the less the authors address the remarks and flaws raised. This is interesting, well written and important study theretofore I recommend accept it.

Response: Thank you very much for your positive feedback and recommendation.

Reviewer 2

Question/Comment: The authors of this UK based study explore targeted screening based on IVF pregnancy, low lying placenta and velamentous cord insertion, compared to no screening. They conclude, using a decision analytical tree method, that screening for VP based on those pregnancies affected by low lying placenta is potentially the most efficient method, avoiding false positive diagnoses and having least impact on the current care pathway.

In Lines 93-94 they state that “The overall purpose of this work was to make a practical contribution to the evolving discussion about the antenatal detection of VP in the UK; this was achieved by presenting here an analysis of four possible detection pathways for VP”. This the authors have done using generally reasonable assumptions. However, I am struck that the screening/diagnostic phase of ascertainment of VP in this study is assumed to be by TAS at 32 weeks, when cord insertion and the presence of low lying placenta can be determined with a high degree of certainty at the mid trimester scan (as discussed in reference 7 that the authors cite). Hence what is missing from this analysis is a policy of referral for TAS/TVS at 32 weeks where there is LLP or VCI at the routine mid trimester scan. This would dramatically reduce the number of additional 32 week scans required while very modestly increasing the length of a mid trimester scan and only in those units that don’t already look for cord insertion, as all do already for LLP.

Response: We agree with the Reviewer’s thoughts on the likely merit of including VCI or LLP as part of a possible screening strategy, and we believe this to indeed be covered by the modelled strategies.

Namely, the LLP-based screening strategy involves the routinely performed diagnosis of LLP at the mid-trimester scan as basis for the subsequent referral for TAS/TVS for VP at 32 weeks. Similarly, the VCI-based pathway includes the additional testing for VCI at the mid-trimester scan to indicate the referral for TAS/TVS for VP at 32 weeks in cases where VCI is detected at 18+0 to 20+6 weeks.

In this context, we would also like to highlight Figure 1 in the submission which provides a flowchart detailing the different steps of the modelled screening pathways, in line with the description above.

Question/Comment: Lines 99-100: The VP screening model was programmed in Microsoft Excel and used a decision-analytic tree structure to explore the effects of four potential detection pathways in a hypothetical one-year UK pregnancy cohort.

-What was the assumed size of this cohort? I cannot see this defined anywhere, except in table 3 862, 785 pregnancies are referred to.

Response: The overall cohort size (i.e. 862,785 pregnancies), which had so far been included in the supplementary Table S1, has now also been added to the list of key inputs in Table 2.

Question/Comment: Lines 124-126: In the VCI-based pathway, additional testing for VCI and BL/S placenta specifically aimed at establishing the risk of VP would be performed during the 18+0 to 20+6 week scan, with positive detection prompting a recall at 32 weeks to perform further TAS to confirm the presence of VP (representing a population screening strategy based on a risk factor which is sought for the sole purpose of and preventing adverse outcomes from VP, and which is not currently reported in UK practice).

-it is not clear what is the screening process: is it a TA scan at 18-20 weeks, followed by a further TAS at 32 weeks, and then a TVS as the diagnostic test? Sorry if I have missed this but if it is submerged in the text somewhere it needs to be clearer, possibly by means of a flow diagram. If the authors are suggesting (as I state above) that LLP and VCI screening can be carried out at 18-20+6 weeks, this would hugely reduce the estimate of additional 32 week TAS scans referred to in Table 3 in the VCI pathway.

Response: We would like to highlight again the flowchart that has been provided as part of Figure 1 in the submission. In line with this, we can confirm that the VCI-based pathway does indeed include proposed testing for VCI (in addition to the routine testing for LLP) as part of the mid-trimester scan at 18+0 to 20+6 weeks; as described above, detected cases of VCI would then be referred to TAS for VP at 32 weeks (with a final confirmatory TVS for TAS-detected VP at this stage).

We can further confirm that the stated number of referrals to 32-week TAS (for VP) in the VCI-based pathway are modelled as a direct result of the literature-informed incidence of VCI as well as the expected TAS test accuracy for VCI at 18+0 to 20+6 weeks.

Question/Comment: Lines 132-133: In all pathways, pregnancies that underwent TAS at 32 weeks were also followed-up by TVS for VP, if VP could not be excluded. Incidental detection of VP across all pregnancies was also accounted for in all four pathways.

-TAS cannot exclude VP, TVS can. The normal pathway is TAS for screening and TVS for diagnosis, I am curious to know why the authors suggest that this should be inverted? In other words, once VP is suspected then a TVS should be performed, not another TAS, which would in any event require another TVS.

Response: We agree with the Reviewer regarding the appropriate sequence of screening steps, which we have also further clarified for the modelled strategies in response to the queries above, and apologise for any confusion stemming from the use of “cannot be excluded” for describing the referral to subsequent screening steps.

In response, we have amended the wording where relevant (e.g. as part of the flowchart in Figure 1) to instead say that confirmatory/diagnostic TVS was performed where VP “was suspected” during TAS.

Question/Comment: Line 149: ….workshops involving six UK clinical experts (GA, BT, NT, AM, EDJ, HG).

-How were the clinical experts chosen?

Response: We have now added an additional sentence to the Methods section detailing how workshop participants were selected (based on their previous and/or current interaction with the UK NSC).

Question/Comment: Lines 325-330. The base case results of this exploratory study showed that the modelled VCI-based and LLP-based pathways led to the detection of a greater proportion of VP pregnancies and a higher number of referrals to TVS than the no screening or IVF-based pathways. These higher VP detection rates also led to a correspondingly lower proportion of VP pregnancies resulting in perinatal death. The VCI-based pathway resulted in the highest VP detection rate (78.9%) and lowest proportion of perinatal death in VP pregnancies (14.2%); however, it also resulted in the detection of almost all VCI pregnancies, compared to minimal detection of VCI in the other pathways, and required a substantially higher number of additional TAS scans which, currently, are rarely recommended in practice.

-is TVS the mode of diagnosis, in which case why are additional TAS referenced?

Response: As outlined in the clarification of the modelled screening strategies further above, TVS for VP does indeed represent the final, diagnostic step of each pathway. Additional scans in the form of TAS have also been considered as intermediate steps of the different pathways, in order to explore potential resource implications of the different strategies, for example where additional scans would be required over and above what is expected for current clinical practice (please also refer to our response to the corresponding query further below).

Question/Comment: Lines 356-360: This case-fatality rate is informed by the literature on clinically presenting VP and is also aligned with the conclusions made from a UK single-centre study by Zhang et al. where the authors estimated that around half of the 21 ultrasound-detected cases of VP (in a cohort of 26,830 pregnancies) would have resulted in stillbirth if they had not been diagnosed prenatally.[2, 20]

However, these estimates of VP-related mortality contrast with a 2017 national clinical surveillance study conducted in the UK where, in a cohort of approximately 750,000 pregnancies, six deaths to VP were reported.[18]

-It is true that the estimates of VP and mortality associated with it vary. The authors reference a UKOSS study (ref 18) which is an abstract and contains incomplete information. It is unusual that the UKOSS study on VP appears never to have been published, and this limits the robustness of the estimates given. Nevertheless UKOSS is a surveillance system and very likely under-estimates the true incidence of VP. The authors should comment on this point.

Response: The manuscript offers variation in diagnostic criteria as a potential explanation for the differences between VP-related mortality estimates, and we consider this particularly plausible when comparing estimates derived from screening studies (such as Zhang et al.) and those from observation of clinically presenting VP (such as the UKOSS study).

Additional wording has now been added to acknowledge the possibility of under-reporting in the UKOSS study. However we consider it important to note, in the discussion with the Reviewer, that the UKOSS system is well known to UK obstetricians and that, when presenting clinically, VP is a condition which is difficult to miss; as such, we do not think that under-reporting should be overemphasised.

Further to this, and also in response to the Editor’s request above, we have included mention of the information from UKOSS being based on currently available, preliminary results, in order to acknowledge that the source of the information is indeed a conference abstract.

Question/Comment: Table 3: The premise that an additional TAS (presumably at 32 weeks) would be required in 862,785 women to screen for VCI need some explanation. Many UK units routinely report cord insertion-this takes around 30 seconds as part of the 18-20 week (or indeed 11-14 week) scan.

Response: We can confirm that the model currently assumes that additional TAS for VCI would be required for all pregnancies, in addition to the routine fetal anomaly scan at 18+0 to 20+6 weeks, as, to our understanding, the detection of VCI is not formally mandated by the scan base menu detailed in the NHS fetal anomaly screening programme handbook, or in NICE or RCOG guidance.

However, we acknowledge that this is likely a conservative assumption based on the fact that some UK units may indeed routinely report cord insertion, and have added further wording to this effect in the Discussion.

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 2

Yinka Oyelese

4 Dec 2022

The impact of ultrasound-based antenatal screening strategies to detect vasa praevia in the United Kingdom: an exploratory study using decision analytic modelling methods

PONE-D-21-26780R2

Dear Dr. Ruban-Fell,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Yinka Oyelese

Guest Editor

PLOS ONE

Acceptance letter

Yinka Oyelese

8 Dec 2022

PONE-D-21-26780R2

The impact of ultrasound-based antenatal screening strategies to detect vasa praevia in the United Kingdom: an exploratory study using decision analytic modelling methods

Dear Dr. Ruban-Fell:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Yinka Oyelese

Guest Editor

PLOS ONE

Associated Data

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

    Supplementary Materials

    S1 Fig. Structure of the VP screening model.

    (TIF)

    S1 Table. Full list of inputs, including rationale and references.

    (DOCX)

    S2 Table. Alternative inputs used in the Alternative Inputs scenario analysis.

    (DOCX)

    S1 File. SLR and MA on adverse perinatal outcomes.

    (DOCX)

    S2 File. Quality assessment results.

    (DOCX)

    S3 File. Glossary.

    (DOCX)

    S4 File. Model spreadsheet.

    (XLSX)

    Attachment

    Submitted filename: Response to Reviewers.docx

    Attachment

    Submitted filename: Vasa-Praevia(5).pdf

    Attachment

    Submitted filename: Response to Reviewers.docx

    Data Availability Statement

    All relevant data are included within the paper and supplementary information.


    Articles from PLOS ONE are provided here courtesy of PLOS

    RESOURCES