Evidence map›Paper›PMID 28397065›Full record

ArticleIndian journal of pediatrics2017

Referral Patterns and Factors Influencing Age at Admission of Infants with Cholestasis in India.

Gopinathan Mathiyazhagan, Barath Jagadisan

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Article in Indian journal of pediatrics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Gopinathan MathiyazhaganDepartment of Pediatrics, Jawaharlal Institute of Postgraduate Medical Education and Research, Dhanvantri Nagar, Pondicherry, 605006, India.
Barath JagadisanDepartment of Pediatrics, Jawaharlal Institute of Postgraduate Medical Education and Research, Dhanvantri Nagar, Pondicherry, 605006, India. barathjag@yahoo.com.ORCID http://orcid.org/0000-0002-2108-9054
Jawaharlal Institute of Post Graduate Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo define the recognition, age at admission, referral time and referral pattern of neonatal cholestasis in India.

methodsThis prospective, observational study was conducted from February 2015 through March 2016 in the Pediatric gastroenterology unit of JIPMER, Pondicherry in infants with cholestasis < 6 mo of age.

resultsAmong 64 infants, median age of admission was 52 d (IQR 28-63 d). Fifty of sixty four infants (78.1%) came with parent-reported cholestasis-related symptoms of either jaundice alone (57.8%) or bleeding manifestations (20.3%). In 21.9% infants, jaundice was detected by physicians at a median age of 45 d (IQR 38.5-53.2 d). Two infants had intracranial bleed. Only 34% infants with pale stools were identified by the mother. The median healthcare-seeking time was 5.5 d (IQR 2.5-12 d). Among infants presenting to primary healthcare physicians (PHPs) with cholestasis-related symptoms, median time to referral was 5 d (IQR 2.5-12 d). The first point of healthcare contact in 54.7% was a PHP; 17.1% PHPs had reassured the parents. Herbal preparations were prescribed by 14.3%. Only 11.8% of those with jaundice as the only problem were given vitamin K before referral. Biliary atresia (BA) was missed in neonatal intensive care units in 9 cases.

conclusionsThe above issues need to be accounted for before evaluating or implementing screening strategies in India.

Indexed as

Age FactorsCholestasisFemaleHumansIndiaInfantInfant, NewbornInfant, Newborn, DiseasesJaundiceJaundice, NeonatalMalePatient AdmissionReferral and ConsultationNeonatal cholestasisPrimary health careReferral

Identifiers

PMID28397065
OpenAlexW2607304350

What OpenQuestion holds

Textmetadata
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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.