Evidence map›Paper›PMID 36459523›Full record

ArticlePloS one2022

Incidence of macrosomia in Mexico: National and subnational estimations.

Fermín Avendaño-Alvarez, Eric Monterrubio-Flores, Isabel Omaña-Guzmán, Miriam López Teros, Sonia Hernández Cordero, Karla Muciño-Sandoval, Alejandra Cantoral, Monica Ancira-Moreno

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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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

8 authors.

Fermín Avendaño-AlvarezMaestría en Nutriología Aplicada, Universidad Iberoamericana, Ciudad de México, México.
Eric Monterrubio-FloresObservatorio Materno Infantil (OMI), Universidad Iberoamericana, Ciudad de México, México.
Isabel Omaña-GuzmánObservatorio Materno Infantil (OMI), Universidad Iberoamericana, Ciudad de México, México.ORCID 0000-0002-0493-5140
Miriam López TerosObservatorio Materno Infantil (OMI), Universidad Iberoamericana, Ciudad de México, México.
Sonia Hernández CorderoObservatorio Materno Infantil (OMI), Universidad Iberoamericana, Ciudad de México, México.
Karla Muciño-SandovalDepartamento de Salud, Universidad Iberoamericana, Ciudad de México, México.
Alejandra CantoralObservatorio Materno Infantil (OMI), Universidad Iberoamericana, Ciudad de México, México.
Monica Ancira-MorenoObservatorio Materno Infantil (OMI), Universidad Iberoamericana, Ciudad de México, México.ORCID 0000-0002-9716-7274

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fetal macrosomia (FM) is a condition with adverse consequences for both mother and offspring. The occurrence of this condition has increased worldwide. The objectives of this study were: (1) to estimate the incidence of FM at the national and state levels in Mexico in 2020; (2) to estimate the incidence of FM stratified by maternal and newborn characteristics; (3) to identify the states with the highest risk of FM; (4) to georeference the incidence of FM. Open data from the Birth Information Subsystem were used. Relative risks were estimated by adjusted Poisson regression models. The national incidence of FM was 2.75%. The entity with the lowest incidence was Mexico City (1.28%) and the most affected states were Sonora (6.20%), Baja California Sur (5.44%), and Sinaloa (5.36%), located in the north of the country. The incidence of FM at the national level is below that reported in the international literature. The results of this study can be used for the design and implementation of programs, public policies, and interventions.

Indexed as

Fetal MacrosomiaWeight GainFemaleHumansIncidenceInfant, NewbornMexicoMothers

Identifiers

PMID36459523
PMCPMC9718394

What OpenQuestion holds

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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.