Evidence map›Paper›PMID 30621604›Full record

ArticleBMC pregnancy and childbirth2019

The assessment of gestational age: a comparison of different methods from a malaria pregnancy cohort in sub-Saharan Africa.

Holger Unger, Kamala Thriemer, Benedikt Ley, Halidou Tinto, Maminata Traoré, Innocent Valea, Harry Tagbor, Gifty Antwi, Prosper Gbekor, Michael Nambozi and 10 more

Abstract readComparative Study
In one paragraph

Article in BMC pregnancy and childbirth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

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

  1. Pooled it
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  14. A Scoping Review of Preterm Births in Sub-Saharan Africa: Burden, Risk Factors and Outcomes.International journal of environmental research and public health · 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

20 authors.

Holger UngerDepartment of Obstetrics and Gynaecology, Simpson Centre for Reproductive Health, Edinburgh Royal Infirmary, Edinburgh, UK.
Kamala ThriemerInstitute of Tropical Medicine, Antwerp, Belgium. kamala.ley-thriemer@menzies.edu.au.ORCID http://orcid.org/0000-0001-7536-7497
Benedikt LeyInstitute of Tropical Medicine, Antwerp, Belgium.
Halidou TintoInstitut de Recherche en Sciences de la Santé - Clinical Trial Unit of Nanoro (IRSS-CRUN), Nanoro, Burkina Faso.
Maminata TraoréInstitut de Recherche en Sciences de la Santé - Clinical Trial Unit of Nanoro (IRSS-CRUN), Nanoro, Burkina Faso.
Innocent ValeaInstitut de Recherche en Sciences de la Santé - Clinical Trial Unit of Nanoro (IRSS-CRUN), Nanoro, Burkina Faso.
Harry TagborSchool of Medicine, University of Health and Allied Sciences, Hohoe, Ghana.
Gifty AntwiSchool of Medicine, University of Health and Allied Sciences, Hohoe, Ghana.
Prosper GbekorJuaben Government Hospital, Juaben, Ghana.
Michael NamboziTropical Diseases Research Center, Ndola, Zambia.
Jean-Bertin Bukasa KabuyaTropical Diseases Research Center, Ndola, Zambia.
Modest MulengaTropical Diseases Research Center, Ndola, Zambia.
Victor MwapasaDepartment of Public Health, College of Medicine, Blantyre, Malawi.
Gertrude ChapoteraDepartment of Public Health, College of Medicine, Blantyre, Malawi.
Mwayiwawo MadanitsaDepartment of Public Health, College of Medicine, Blantyre, Malawi.
Stephen RulisaUniversity of Rwanda, School of Medicine and Pharmacy, Kigali, Rwanda.
Maaike de CropInstitute of Tropical Medicine, Antwerp, Belgium.
Yves ClaeysInstitute of Tropical Medicine, Antwerp, Belgium.
Raffaella RavinettoInstitute of Tropical Medicine, Antwerp, Belgium.
Umberto D'AlessandroMRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDetermining gestational age in resource-poor settings is challenging because of limited availability of ultrasound technology and late first presentation to antenatal clinic. Last menstrual period (LMP), symphysio-pubis fundal height (SFH) and Ballard Score (BS) at delivery are therefore often used. We assessed the accuracy of LMP, SFH, and BS to estimate gestational age at delivery and preterm birth compared to ultrasound (US) using a large dataset derived from a randomized controlled trial in pregnant malaria patients in four African countries.

methodsMean and median gestational age for US, LMP, SFH and BS were calculated for the entire study population and stratified by country. Correlation coefficients were calculated using Pearson's rho, and Bland Altman plots were used to calculate mean differences in findings with 95% limit of agreements. Sensitivity, specificity, positive predictive value and negative predictive value were calculated considering US as reference method to identify term and preterm babies.

resultsA total of 1630 women with P. falciparum infection and a gestational age > 24 weeks determined by ultrasound at enrolment were included in the analysis. The mean gestational age at delivery using US was 38.7 weeks (95%CI: 38.6-38.8), by LMP, 38.4 weeks (95%CI: 38.0-38.9), by SFH, 38.3 weeks (95%CI: 38.2-38.5), and by BS 38.0 weeks (95%CI: 37.9-38.1) (p < 0.001). Correlation between US and any of the other three methods was poor to moderate. Sensitivity and specificity to determine prematurity were 0.63 (95%CI 0.50-0.75) and 0.72 (95%CI, 0.66-0.76) for LMP, 0.80 (95%CI 0.74-0.85) and 0.74 (95%CI 0.72-0.76) for SFH and 0.42 (95%CI 0.35-0.49) and 0.77 (95%CI 0.74-0.79) for BS.

conclusionsIn settings with limited access to ultrasound, and in women who had been treated with P. falciparum malaria, SFH may be the most useful antenatal tool to date a pregnancy when women present first in second and third trimester. The Ballard postnatal maturation assessment has a limited role and lacks precision. Improving ultrasound facilities and skills, and early attendance, together with the development of new technologies such as automated image analysis and new postnatal methods to assess gestational age, are essential for the study and management of preterm birth in low-income settings.

Indexed as

Gestational AgeMalariaPregnancy Complications, ParasiticAfrica South of the SaharaFemaleHumansMenstrual CyclePovertyPredictive Value of TestsPregnancyPremature BirthPrenatal DiagnosisPubic SymphysisRandomized Controlled Trials as TopicSensitivity and SpecificityUltrasonography, PrenatalBallard scoreGestational ageLast menstrual periodLow income countryMethodsPregnancySymphysio-pubis fundal heightUltrasound

Identifiers

PMID30621604
PMCPMC6323786

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LicenceCC BY
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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.