Evidence map›Paper›PMID 42525000›Full record

ArticleRevista latino-americana de enfermagem2026

Temporal and spatial analysis of low birth weight cases in Sergipe.

Vanessa Dos Santos Viana, Juliana Schaia Rocha Orsi, Regiane Cristina do Amaral

Abstract read
In one paragraph

Article in Revista latino-americana de enfermagem, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Vanessa Dos Santos VianaUniversidade Federal de Sergipe, Aracaju, SE, Brazil.ORCID http://orcid.org/0000-0003-4453-287X
Juliana Schaia Rocha OrsiPontifícia Universidade Católica do Paraná, Paraná, PR, Brazil.ORCID http://orcid.org/0000-0001-7056-7422
Regiane Cristina do AmaralUniversidade Federal de Sergipe, Departamento de Odontologia, Aracaju, SE, Brazil.ORCID http://orcid.org/0000-0002-9191-0960

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveto conduct a temporal and spatial time-series analysis of low birth weight cases in the Sergipe state from 2013 to 2023, identifying regions with the highest rates.

methoddata from live births in the state, provided by the State Health Department, were analyzed. Kernel density maps were generated by municipality, and time-series analyses were conducted by health region.

resultsbetween 2013 and 2023, the state recorded 370,329 births, of which 30,999 newborns weighed less than 2,500 grams (8.4%). According to the Kernel density map, the municipalities of Nossa Senhora do Socorro followed by Propriá presented the highest LBW rates. Time-series analysis showed a decreasing trend in the Nossa Senhora da Glória and Nossa Senhora do Socorro regionals.

conclusionLBW cases were spatially clustered, and most health regions exhibited stationary trends.

Indexed as

Infant, Low Birth WeightBrazilHumansInfant, NewbornSpatio-Temporal AnalysisTime Factors

Identifiers

PMID42525000
PMCPMC13405587

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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.