Evidence map›Paper›PMID 21372718›Full record

ArticleEpidemiology (Cambridge, Mass.)2011

Might rare factors account for most of the mortality of preterm babies?

Olga Basso, Allen J Wilcox

Abstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Vanishing twins, selectionEvolution, medicine, and public health · 2025
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  10. Causal inference in studies of preterm babies: a simulation study.BJOG : an international journal of obstetrics and gynaecology · 2018
    Article
  11. Article
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  13. Re: "analyzing risks of adverse pregnancy outcomes".American journal of epidemiology · 2015
    Article
  14. Article
  15. Article
  16. On the pitfalls of adjusting for gestational age at birth.American journal of epidemiology · 2011
    Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Olga BassoEpidemiology Branch, NIEHS, Durham, NC, USA. olga.basso@mcgill.ca
Allen J Wilcox

Funding

Epidemiologic Study Of Reproductive Outcomes And Environmental ExposuresZIAES044003 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI WILCOX, ALLEN J · 2009 to 2020
$4.7M
Epidemiology Of Reproductive Outcomes /Environ ExposuresZ01ES044003 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI WILCOX, ALLEN J · 1985 to 2008
$786k
Intramural NIH HHS Z01 ES044003Intramural NIH HHS Z99 ES999999
6 · The paper itself

Abstract

backgroundPreterm delivery has a variety of causes, with each of these presumably carrying its own mortality risk. To the extent that they add to the risk of mortality, the various pathologic factors triggering preterm delivery will confound the causal contribution of gestational age to mortality, inflating the observed rates of gestational-age-specific mortality. We have previously estimated that about half of the mortality of US preterm singletons may be due to unmeasured pathologies that increase mortality risk and also cause preterm birth. In this paper, we examine the impact that rare factors may have, at least in theory, on preterm mortality.

methodsWe constructed a simple model of gestational-age-specific mortality, in which we arbitrarily selected a function to represent the mortality due to immaturity alone ("baseline" risk). We then added "unmeasured" confounding factors that cause mortality and also cause preterm birth. This construct allowed us to calculate, in simple scenarios, the proportion of preterm mortality that could be caused by unmeasured confounding.

resultsWe found that rare pathologies with moderate-to-strong effects can substantially contribute to preterm mortality. The presence of such rare factors can also produce an intersection of gestational-age-specific mortality curves when stratifying by known risk factors.

conclusionsIt is possible that a few relatively rare factors may account for a large fraction of preterm mortality. The search for such factors should be a primary focus of future research on preterm delivery.

Indexed as

FemaleGestational AgeHumansInfant MortalityInfant, NewbornInfant, PrematureInfant, Premature, DiseasesMaleModels, StatisticalPregnancyPremature BirthPrevalenceQuebecRisk Factors

Identifiers

PMID21372718
PMCPMC3097041

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.