Evidence map›Paper›PMID 34759476›Full record

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

Differential and Determinants of Neonatal Mortality: A Comparative Study in Northern and Southern Regions of India.

Kamalesh Kumar Patel, Mukesh Kumar

Abstract 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 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. 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

2 authors.

Kamalesh Kumar PatelDepartment of Population Policies and Programmes, International Institute for Population Sciences, Mumbai, India.
Mukesh KumarDepartment of Statistics, MMV, Banaras Hindu University, Varanasi, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Government of India initiated different programs to reduce neonatal mortality. However, the variability of neonatal deaths occurs among states of India.

objectiveThis study aimed to identify the differential determinants associated with neonatal deaths in northern and southern regions of India. MATERIALS AND

methodsBivariate analysis and Cox regression analysis have been performed to evaluate the predictors of neonatal mortality from National Family Health Survey (NFHS-4) data.

resultsFor neonatal mortality, mother and child factors became more consistent in the southern region than northern regions of the country, while household factor was almost the same in both regions of India.

conclusionsPrimary intervention is also required to reduce public health problem as neonatal mortality. It should be focused on education of mother, birth interval, age at birth, antenatal care, poverty reduction programs, and proper heath facility to pregnant mothers.

Indexed as

Cox regressionIndianeonatal mortalitynorthern regionssouthern regions

Identifiers

PMID34759476
PMCPMC8575228

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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.