Evidence map›Paper›PMID 38440021›Full record

ReviewCureus2024

Factors Associated With Low Birth Weight Among the Tribal Population in India: A Narrative Review.

Arpana K Bhagat, Ashok M Mehendale, Komal N Muneshwar

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 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
0.9field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. Predictive Modelling of Low Birth Weight in Pregnancies: A Comparative Analysis of Logistic Regression and Decision Tree Approaches.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2025
    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

3 authors at 1 institution in 1 country.

Arpana K BhagatSchool of Epidemiology and Public Health, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Ashok M MehendalePreventive Medicine, Department of Community Medicine, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Komal N MuneshwarPreventive Medicine, Department of Community Medicine, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Datta Meghe Institute of Higher Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low birth weight (LBW) is defined by the WHO as a birth weighing less than 2500 g (5.5 lb). The highest burden of any nation is LBW infants. In countries where the frequency of neonate babies is high, short gestation is a major cause. LBW babies have an 11-13 times greater risk of delayed developmental milestones and other medical diagnoses. Greater than the global incidence, LBW prevalence is a severe public health problem in India. A comprehensive literature search was conducted using internet sources like PubMed, Web of Science, Cochrane Library, and Google Scholar. The words "birth weight," "abnormal birth weight," "LBWs," "neonates," "premature birth," "risks factors," "causes," "factors," "prevalence," and "frequency" were searched. In this review, we examine the causes of LBW, implementation of pre-birth prevention strategies, and post-birth multifaceted health promotion interventions. The mother's knowledge, dietary requirements, and prenatal services need to be addressed to decrease the prevalence of LBWs among tribal districts of India.

Indexed as

causeslbwslow birth weightmortality rateneonatespremature birthprenatal risks factorsrisks factors

Identifiers

PMID38440021
PMCPMC10911641
OpenAlexW4391514103

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.