Evidence map›Paper›PMID 24513685›Full record

ArticleInternational journal of epidemiology2014

Fetuses-at-risk, to avoid paradoxical associations at early gestational ages: extension to preterm infant mortality.

Nathalie Auger, Nicolas L Gilbert, Ashley I Naimi, Jay S Kaufman

Abstract read
In one paragraph

Article in International journal of epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Stillbirth in an Anglophone minority of Canada.International journal of public health · 2015
    Article
  13. Review
  14. 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

4 authors.

Nathalie AugerInstitut national de sante publique du Québec, Montréal, Québec, Canada, Research Centre of the University of Montréal Hospital Centre, Montréal, Québec, Canada, Department of Social and Preventive Medicine, University of Montréal, Montréal, Québec, Canada, Maternal and Infant Health Section, Public Health Agency of Canada, Ottawa, Ontario, Canada and Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, CanadaInstitut national de sante publique du Québec, Montréal, Québec, Canada, Research Centre of the University of Montréal Hospital Centre, Montréal, Québec, Canada, Department of Social and Preventive Medicine, University of Montréal, Montréal, Québec, Canada, Maternal and Infant Health Section, Public Health Agency of Canada, Ottawa, Ontario, Canada and Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, CanadaInstitut national de sante publique du Québec, Montréal, Québec, Canada, Research Centre of the University of Montréal Hospital Centre, Montréal, Québec, Canada, Department of Social and Preventive Medicine, University of Montréal, Montréal, Québec, Canada, Maternal and Infant Health Section, Public Health Agency of Canada, Ottawa, Ontario, Canada and Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada nathalie.auger@inspq.qc.ca.
Nicolas L GilbertInstitut national de sante publique du Québec, Montréal, Québec, Canada, Research Centre of the University of Montréal Hospital Centre, Montréal, Québec, Canada, Department of Social and Preventive Medicine, University of Montréal, Montréal, Québec, Canada, Maternal and Infant Health Section, Public Health Agency of Canada, Ottawa, Ontario, Canada and Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, CanadaInstitut national de sante publique du Québec, Montréal, Québec, Canada, Research Centre of the University of Montréal Hospital Centre, Montréal, Québec, Canada, Department of Social and Preventive Medicine, University of Montréal, Montréal, Québec, Canada, Maternal and Infant Health Section, Public Health Agency of Canada, Ottawa, Ontario, Canada and Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada.
Ashley I NaimiInstitut national de sante publique du Québec, Montréal, Québec, Canada, Research Centre of the University of Montréal Hospital Centre, Montréal, Québec, Canada, Department of Social and Preventive Medicine, University of Montréal, Montréal, Québec, Canada, Maternal and Infant Health Section, Public Health Agency of Canada, Ottawa, Ontario, Canada and Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada.
Jay S KaufmanInstitut national de sante publique du Québec, Montréal, Québec, Canada, Research Centre of the University of Montréal Hospital Centre, Montréal, Québec, Canada, Department of Social and Preventive Medicine, University of Montréal, Montréal, Québec, Canada, Maternal and Infant Health Section, Public Health Agency of Canada, Ottawa, Ontario, Canada and Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada.

Funding

Canadian Institutes of Health Research MOP-130452
6 · The paper itself

Abstract

backgroundFetuses-at-risk denominators are commonly used in research on preterm stillbirth, but applications to postnatal outcomes such as preterm infant mortality are controversial. We evaluated whether biased associations between maternal risk factors and preterm infant mortality caused by stratification by preterm birth could be avoided using fetuses-at-risk risk ratios.

methodsData included 3 277 570 births drawn from the linked live birth-death file for Canada from 1990 through 2005. We used maternal age as the risk factor, and estimated the association with stillbirth, early neonatal, late neonatal and postneonatal mortality by gestational interval (22-24, 25-27, 28-31, 32-36, ≥37 weeks). Models were run using (i) log-binomial regression stratified by preterm gestational age, and (ii) unstratified log-binomial regression using fetuses-at-risk denominators.

resultsExtremes of maternal age were associated with higher mortality among term births. Among preterm births, the stratified model suggested a protective, null or attenuated association of extremes of maternal age with stillbirth, early, late and post neonatal mortality. The unstratified fetuses-at-risk model, however, resulted in the expected higher risk of mortality at extremes of maternal age for all outcomes.

conclusionsFetuses-at-risk regression can avoid paradoxical associations between maternal exposures and mortality of infants born early in gestation, caused by preterm birth stratification bias. The fetuses-at-risk approach can be extended through the first year of life, or potentially beyond, depending on the outcome and presence of unmeasured confounders associated with preterm birth.

Indexed as

Infant MortalityMaternal AgePremature BirthRisk AssessmentAdultCanadaCohort StudiesFemaleGestational AgeHumansInfantInfant, NewbornInfant, PrematureMalePregnancyRegression AnalysisBias (epidemiology)gestational ageinfant mortalitymaternal agepremature birth

Identifiers

PMID24513685
PMCPMC4258766

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.