Evidence map›Paper›PMID 32029976›Full record

ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine

Maternal Ability to Correctly Detect Significant Jaundice in Indian Neonates.

Alok Yadav, Amit Devgan, Subhash Chandra Shaw, Puja Dudeja

Open access · goldAbstract read
In one paragraph

Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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 at 2 institutions in 1 country.

Alok YadavDepartment of Pediatrics, Command Hospital, Kolkata, West Bengal, India.
Amit DevganDepartment of Pediatrics, Armed Forces Medical College, Pune, Maharashtra, India.
Subhash Chandra ShawDepartment of Pediatrics, Armed Forces Medical College, Pune, Maharashtra, India.
Puja DudejaDepartment of Community Medicine, Armed Forces Medical College, Pune, Maharashtra, India.
Armed Forces Medical College · INCommand Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ability of mothers to correctly detect jaundice in their newborns is largely unknown. The objective was to ascertain the ability of mother to correctly detect the presence of significant jaundice in her newborn. MATERIALS AND

methodsThis cross-sectional study was conducted in a tertiary care hospital in eastern India from February 2015 to July 2016. All inborn neonates more than 34 weeks' gestation were included. Congenital malformations, perinatal asphyxia, neonatal sepsis, readmission after discharge, and isoimmunization were excluded. A total of 505 inborn newborns were independently assessed by the mother and the treating pediatrician for significant jaundice every day till discharge. Each newborn underwent total serum bilirubin estimation on suspicion of significant jaundice by either of the two or at discharge, whichever was earlier.

resultsThe sensitivity, specificity, positive predictive value (PPV), and negative predictive value of maternal detection of significant jaundice was 51.47%, 88.33%, 39.29%, and 92.12%, respectively.

conclusionMothers have poor sensitivity and PPV to detect significant neonatal jaundice in the Indian population.

Indexed as

Maternal detectionneonatal jaundicepredictive ability

Identifiers

PMID32029976
PMCPMC6985939
OpenAlexW3006987215

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.