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Record W1992033094 · doi:10.1111/1471-0528.13110

Predicting stillbirths – still a distant reality

2014· letter· en· W1992033094 on OpenAlexaff
Rohan D’Souza, PS Shah

Bibliographic record

VenueBJOG An International Journal of Obstetrics & Gynaecology · 2014
Typeletter
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsMedicinePsychological interventionPregnancyEnvironmental healthPsychiatryBiology

Abstract

fetched live from OpenAlex

Although there has been an encouraging 14.5% reduction in the global stillbirth rate between 1995 and 2009, it is still very high at 18.9/1000 births worldwide and 3.9/1000 births in high-income countries (Cousens et al. Lancet 2011;377:1319–30). All-cause stillbirth ranks fifth among the global causes of deaths and interestingly ranks before diarrhoea, HIV/AIDS, tuberculosis, traffic accidents and cancer (Mathers et al. World Health Organization, 2008). Despite this, stillbirths are hardly included in global health targets and, until recently, data were not routinely collected or collated by UN agencies – a stark example of the ‘scandal of invisibility’. The tragedy of a stillbirth has profound medical, social and psychological consequences. The ability to predict stillbirths early in pregnancy and to offer additional surveillance and interventions to high-risk mother/fetus is understandably an important part of antenatal care. This well-conducted systematic review by Conde-Agudelo et al. is therefore extremely timely and important despite being unable to identify a clinically useful first- or second-trimester test for predicting stillbirth as a sole category. This conclusion is unsurprising because (1) the definition of stillbirths varies between geographical regions from 20 to 28 weeks of gestation, (2) the aetiology of stillbirths is multifactorial, (3) there is paucity of high quality and adequately powered studies on the prediction of stillbirth, (4) most studies attempt to extrapolate a variety of biochemical and biophysical tests and thresholds without adequate validation, and (5) there is a significant heterogeneity between studies. There are some methodological issues in the conduct and reporting of this review as well. First, there is still a lack of consensus on the appropriateness of the use of summary values in the meta-analyses of diagnostic tests, although the authors elected to combine likelihood ratios. Secondly, significant methodological flaws in as many as 79% of the included studies and the heterogeneity in approximately 40% of the meta-analyses meant that some conclusions had to be drawn from single studies, further limiting credibility. These limitations notwithstanding, the conclusions are important for clinicians, researchers and policy-makers. We are reminded that despite the advances in antenatal and intrapartum care, in 2014 there is still no clinically useful test to predict stillbirth, challenging researchers and clinicians. Although uterine artery pulsatility indices and maternal serum PAPP-A levels show some promise in predicting stillbirths related to placental dysfunction, their utility and accessibility in low-income countries where 76.2% of the stillbirths occur, is questionable. Finally, we ponder the concept of ‘life expectancy at birth’. At the beginning of the third-trimester of pregnancy, when most babies are viable, the risk of stillbirth is still about 2%, a risk matched only when people reach their 80s (Froen et al. Lancet 2011;377:1353–66). We believe that we need to amend our conceptual mindset by considering ‘life expectancy at conception’ rather than beguiling ourselves with increasing ‘life expectancy at birth’, which deliberately excludes stillbirths from such a widely used comparative marker. Mounting global socio-political pressure in maternal-child health may realize this goal provided that counting of life starts ‘at the right time and everyone is counted’. The authors have no conflicts of interest to disclose.

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)0.077
metaresearch head score (Gemma)0.259
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 score0.077
Threshold uncertainty score0.405

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0770.259
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0050.004
Science and technology studies0.0010.004
Scholarly communication0.0050.011
Open science0.0030.003
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0060.002

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 head0.030
GPT teacher head0.320
Teacher spread0.290 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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