Evidence map›Paper›PMID 42512199›Full record

ArticleInternational journal of environmental research and public health2026

Addressing Class Imbalance in Low Birth Weight Prediction: A Quantile-Based Outcome Redefinition Framework Using Colombian Health Surveillance Data.

Víctor Hugo Morales, Osnamir Elias Bru-Cordero, Antonio José Martínez-López

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

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.

Víctor Hugo MoralesDepartamento de Matemáticas y Estadística, Universidad de Córdoba, Montería 230027, Colombia.
Osnamir Elias Bru-CorderoDirección Académica, Universidad Nacional de Colombia, Sede de la Paz, Cesar 202010, Colombia.ORCID 0000-0001-9425-9475
Antonio José Martínez-LópezDepartamento de Matemáticas y Estadística, Universidad de Córdoba, Montería 230027, Colombia.

Funding

University of Córdoba FCB0624
6 · The paper itself

Abstract

Low birth weight (LBW), defined by the World Health Organization as birth weight below 2500 g, remains a major public health concern. This study evaluates whether a quantile-based outcome redefinition can improve predictive severity stratification among newborns already classified as LBW. We analyzed deidentified SIVIGILA surveillance records from Medellín, Colombia (2011-2021;

Indexed as

Infant, Low Birth WeightBirth WeightClassification AlgorithmsColombiaFemaleHumansInfant, NewbornLogistic ModelsMalePrediction Algorithmsclass imbalancelogistic regressionlow birth weightpenalized modelsquantile reclassificationrisk stratificationSIVIGILASMOTE

Identifiers

PMID42512199
PMCPMC13410725

What OpenQuestion holds

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LicenceCC BY
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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.