Evidence map›Paper›PMID 39214548›Full record

SynthesisBMJ paediatrics open2024

Assessing the diagnostic accuracy of postnatal clinical scoring methods and foot length measurement for estimating gestational age and birthweight of newborns in low- and middle-income countries: a systematic review and meta-analysis.

Shiyam Sunder Tikmani, Thomas Mårtensson, Sumaira Khalid, Muhammad Uzair, Qammerulanissa Ali, Anum Rahim, Andreas Mårtensson, Sarah Saleem, Nick Brown

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMJ paediatrics open, 2024. 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. Article
  2. Article
  3. 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

9 authors.

Shiyam Sunder TikmaniGlobal health and migration unit, Department of Women's & Children's Health, Uppsala University, Uppsala, Sweden shiyam.sunder@kbh.uu.se.ORCID http://orcid.org/0000-0001-8828-8325
Thomas MårtenssonGlobal health and migration unit, Department of Women's & Children's Health, Uppsala University, Uppsala, Sweden.
Sumaira KhalidDepartment of Public Health, College of Health Professions Marshall University, Huntington, West Virginia, USA.
Muhammad UzairPopulation and Reproductive Health Section, Department of Community Health Sciences, Aga Khan University, Karachi, Pakistan.
Qammerulanissa AliPopulation and Reproductive Health Section, Department of Community Health Sciences, Aga Khan University, Karachi, Pakistan.
Anum RahimEpidemiology and Biostatistic Section, Department of Community Health Sciences, Aga Khan University, Karachi, Pakistan.
Andreas MårtenssonGlobal health and migration unit, Department of Women's & Children's Health, Uppsala University, Uppsala, Sweden.
Sarah SaleemPopulation and Reproductive Health Section, Department of Community Health Sciences, Aga Khan University, Karachi, Pakistan.
Nick BrownGlobal health and migration unit, Department of Women's & Children's Health, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0003-1789-0436

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to update systematic reviews and meta-analyses on the diagnostic accuracy of postnatal clinical scoring (PCS) methods and foot length (FL) measurement for assessing gestational age (GA) and birth weight in low-income and middle-income countries (LMICs). In addition, the quality of reference standards, including antenatal ultrasound (A-US), last menstrual period (LMP), PCS and newborn weighing scales, was also evaluated.

methodsStudies from LMICs published between January 2000 and February 2024 were searched, using databases such as PubMed, Web of Science, Cochrane Library, CINAHL and Scopus. Studies that compared PCS and/or FL with LMP and/or A-US to estimate GA or used calibrated newborn weighing scales for birthweight estimation were included. The risk of bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies-II tool and evaluated the quality of the reference standards. When sufficient data were available, pooled estimates were calculated using random-effects models.

resultsA total of 50 studies were included. A-US was a reasonable tool for GA assessment if conducted by physicians using fetal biometry and the Hadlock method for GA estimation. LMP was reasonable when women had regular cycles, knew their LMP, were not using contraceptives and LMP data were collected by healthcare providers. When A-US was used as the reference standard, PCS methods estimated GA with a precision of ±2.8 to ±3.2 weeks. FL measurement <7.5 cm showed a pooled sensitivity of 76.2% and specificity of 36.6% for identifying preterm birth. FL measurement ≤7.6 cm had a pooled sensitivity of 78.6% and specificity of 65.7% for identifying low birth weight (LBW). High heterogeneity across studies was observed.

conclusionThis systematic review and meta-analysis highlights significant variability and methodological inconsistencies in using PCS methods and FL measurement for estimating GA and LBW in LMICs. The observed high heterogeneity across studies suggests a cautious interpretation of the results. PROSPERO REGISTRATION NUMBER: CRD42020209455.

Indexed as

Birth WeightDeveloping CountriesFootGestational AgeFemaleHumansInfant, NewbornPregnancyUltrasonography, PrenatalNeonatology

Identifiers

PMID39214548
PMCPMC11367336

What Socratic 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 Socratic graph.