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Record W2939062813 · doi:10.1111/1471-0528.15753

Sildenafil therapy in early‐onset fetal growth restriction: waiting for the individual patient data meta‐analysis

2019· letter· en· W2939062813 on OpenAlexaboutno aff
F. Figueras

Bibliographic record

VenueBJOG An International Journal of Obstetrics & Gynaecology · 2019
Typeletter
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsnot available
Fundersnot available
KeywordsSildenafilMedicineGestationFetal growthPlaceboMeta-analysisObstetricsIntrauterine growth restrictionUmbilical arteryFetusPediatricsInternal medicinePregnancy

Abstract

fetched live from OpenAlex

The Sildenafil TheRapy In Dismal prognosis Early-onset intrauterine growth Restriction (STRIDER) Consortium was set up in 2011 to assess the effects of sildenafil for the treatment of fetal growth restriction (FGR). The project included four trials with different but related main outcomes. Once completed, an individual patient data meta-analysis of the four trials was planned to address with adequate statistical power the effects on hard perinatal outcomes. The results of the randomised controlled trial conducted in Australia and New Zealand are published (Groom BJOG 2019;126:997–1006), showing that the proportion of pregnancies with failure to show any improvement in abdominal growth velocity was 47% in the sildenafil group (25 mg/8 h) and 32% in the placebo group. The 95% CI of the risk difference ranged from a 1.4% risk reduction to a 33.4% risk increase. This is relevant because it shows that the study is well powered to detect even small benefits of sildenafil (>1.4%) in improving growth, and leaves little doubt on the lack of benefit regarding this outcome. Remarkably, the inclusion criteria were broad (abdominal circumference <3rd centile before 28 weeks of gestation and estimated fetal weight <700 g from 28 to 29+6 weeks of gestation). However, the stratified analysis of those 28 pregnancies with absent or reversed end-diastolic velocities in the umbilical artery showed no difference regarding the lack of effect in improving growth. One can argue that growth velocity is an intermediate measure rather than a health outcome. In this study, the 95% CI of the risk difference of sildenafil for stillbirth ranged from a 3.7% risk increase to a 22.1% risk reduction; similarly, the 95% CI of the risk difference of sildenafil for death or severe morbidity ranged from a 6.5% risk increase to a 28% risk reduction. Hence, this individual study is only powered to exclude very large benefits of sildenafil, but not more moderate but still clinically relevant effects. The UK-STRIDER study (Sharp Lancet Child Adolesc Health 2018;2:93–102), which only included pregnancies with umbilical artery Doppler abnormalities, also showed no differences between groups in the prolongation of pregnancy (median of 17 days in the sildenafil group versus 18 days in the placebo group). The sample size also rendered the study underpowered to detect moderate but still clinically relevant effects on the rate of fetal and neonatal mortality or neonatal morbidity. The Dutch-STRIDER trial has been stopped after a planned interim analysis that showed an increased incidence of persistent pulmonary hypertension in the sildenafil group (although causality is still to be established) and also because the chance of neonatal mortality and morbidity was not reduced with the treatment. Likewise, the Canadian-STRIDER trial has been stopped because of the apparent futility and safety concerns. Therefore, it is now essential to have the results of the individual patient data meta-analysis to definitely rule out clinically relevant benefits of sildenafil therapy in early-onset FGR and confirm the neonatal risks. In the meantime, this treatment should not be prescribed for FGR outside the setting of high-quality randomised clinical trials. None declared. A completed disclosure of interests form is available to view online as supporting information. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.027
metaresearch head score (Gemma)0.042
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.042
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0170.050
Bibliometrics0.0030.003
Science and technology studies0.0010.000
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.146
GPT teacher head0.340
Teacher spread0.194 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2019
Admission routes1
Has abstractyes

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