Evidence map›Paper›PMID 27919061›Full record

ArticleOccupational and environmental medicine2017

Comparison of gestational dating methods and implications for exposure-outcome associations: an example with PM2.5 and preterm birth.

Kristen M Rappazzo, Danelle T Lobdell, Lynne C Messer, Charles Poole, Julie L Daniels

Abstract readComparative Study
In one paragraph

Article in Occupational and environmental medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. The effect of antenatal isoniazid preventive therapy on birth outcomes in Western Kenya.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2023
    Article
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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

5 authors.

Kristen M RappazzoNational Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, Office of Research and Development, Chapel Hill, North Carolina, USA.
Danelle T LobdellNational Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, Office of Research and Development, Chapel Hill, North Carolina, USA.
Lynne C MesserSchool of Community Health-College of Urban and Public Affairs, Portland State University Portland, Portland, Oregon, USA.
Charles PooleDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA.
Julie L DanielsDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

objectivesEstimating gestational age is usually based on date of last menstrual period (LMP) or clinical estimation (CE); both approaches introduce potential bias. Differences in methods of estimation may lead to misclassification and inconsistencies in risk estimates, particularly if exposure assignment is also gestation-dependent. This paper examines a 'what-if' scenario in which alternative methods are used and attempts to elucidate how method choice affects observed results.

methodsWe constructed two 20-week gestational age cohorts of pregnancies between 2000 and 2005 (New Jersey, Pennsylvania, Ohio, USA) using live birth certificates: one defined preterm birth (PTB) status using CE and one using LMP. Within these, we estimated risk for 4 categories of preterm birth (PTBs per 10

resultsMore births were classified preterm using LMP (16%) compared with CE (8%). RD divergences increased between cohorts as exposure period approached delivery. Among births between 28 and 31 weeks, week 7 PM

conclusionsDifferent results from analyses restricted to births with both CE and LMP are most likely due to differences in dating methods rather than selection issues. Results are sensitive to choice of gestational age estimation, though degree of sensitivity can vary by exposure timing. When both outcome and exposure depend on estimate of gestational age, awareness of nuances in the method used for estimation is critical.

Indexed as

BiasGestational AgeMenstrual CycleAdultCohort StudiesEnvironmental ExposureFemaleHumansInfant, NewbornParticle SizeParticulate MatterPregnancyPremature BirthRegression AnalysisReproducibility of ResultsTime FactorsParticulate Matterenvironmental exposuregestational datingparticulate matterpreterm birth

Identifiers

PMID27919061
PMCPMC6128148

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Registered trials

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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.