Evidence map›Paper›PMID 25945927›Full record

ArticlePloS one2015

Preterm or not--an evaluation of estimates of gestational age in a cohort of women from Rural Papua New Guinea.

Stephan Karl, Connie S N Li Wai Suen, Holger W Unger, Maria Ome-Kaius, Glen Mola, Lisa White, Regina A Wangnapi, Stephen J Rogerson, Ivo Mueller

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 10% of its field
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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 54 citations in OpenAlex.

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  14. Targeted newborn metabolomics: prediction of gestational age from cord blood.Journal of perinatology : official journal of the California Perinatal Association · 2022
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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

9 authors at 6 institutions in 5 countries.

Stephan KarlWalter and Eliza Hall Institute of Medical Research (WEHI), Melbourne, Australia; Department of Medical Biology, The University of Melbourne, Melbourne, Australia.
Connie S N Li Wai SuenWalter and Eliza Hall Institute of Medical Research (WEHI), Melbourne, Australia; Department of Medical Biology, The University of Melbourne, Melbourne, Australia.
Holger W UngerDepartment of Medicine (Royal Melbourne Hospital), The University of Melbourne, Melbourne, Australia; Papua New Guinea Institute of Medical Research (PNG IMR), Goroka, Papua New Guinea.
Maria Ome-KaiusPapua New Guinea Institute of Medical Research (PNG IMR), Goroka, Papua New Guinea.
Glen MolaDepartment of Obstetrics and Gynaecology, University of Papua New Guinea, Port Moresby, Papua New Guinea.
Lisa WhiteCentre for Tropical Medicine, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom; Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Regina A WangnapiPapua New Guinea Institute of Medical Research (PNG IMR), Goroka, Papua New Guinea.
Stephen J RogersonDepartment of Medicine (Royal Melbourne Hospital), The University of Melbourne, Melbourne, Australia.
Ivo MuellerWalter and Eliza Hall Institute of Medical Research (WEHI), Melbourne, Australia; Department of Medical Biology, The University of Melbourne, Melbourne, Australia; Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Papua New Guinea Institute of Medical Research · PGWalter and Eliza Hall Institute of Medical Research · AUBarcelona Institute for Global Health · ESThe Royal Melbourne Hospital · AUUniversity of Oxford · GBUniversity of Papua New Guinea · PG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKnowledge of accurate gestational age is required for comprehensive pregnancy care and is an essential component of research evaluating causes of preterm birth. In industrialised countries gestational age is determined with the help of fetal biometry in early pregnancy. Lack of ultrasound and late presentation to antenatal clinic limits this practice in low-resource settings. Instead, clinical estimators of gestational age are used, but their accuracy remains a matter of debate.

methodsIn a cohort of 688 singleton pregnancies from rural Papua New Guinea, delivery gestational age was calculated from Ballard score, last menstrual period, symphysis-pubis fundal height at first visit and quickening as well as mid- and late pregnancy fetal biometry. Published models using sequential fundal height measurements and corrected last menstrual period to estimate gestational age were also tested. Novel linear models that combined clinical measurements for gestational age estimation were developed. Predictions were compared with the reference early pregnancy ultrasound (<25 gestational weeks) using correlation, regression and Bland-Altman analyses and ranked for their capability to predict preterm birth using the harmonic mean of recall and precision (F-measure).

resultsAverage bias between reference ultrasound and clinical methods ranged from 0-11 days (95% confidence levels: 14-42 days). Preterm birth was best predicted by mid-pregnancy ultrasound (F-measure: 0.72), and neuromuscular Ballard score provided the least reliable preterm birth prediction (F-measure: 0.17). The best clinical methods to predict gestational age and preterm birth were last menstrual period and fundal height (F-measures 0.35). A linear model combining both measures improved prediction of preterm birth (F-measure: 0.58).

conclusionsEstimation of gestational age without ultrasound is prone to significant error. In the absence of ultrasound facilities, last menstrual period and fundal height are among the more reliable clinical measures. This study underlines the importance of strengthening ultrasound facilities and developing novel ways to estimate gestational age.

Indexed as

Gestational AgeModels, StatisticalAdolescentAdultCohort StudiesFemaleHumansMiddle AgedPapua New GuineaPregnancyPremature BirthRural Population

Identifiers

PMID25945927
PMCPMC4422681
OpenAlexW253236681

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.