Evidence map›Paper›PMID 34876452›Full record

ArticleBMJ health & care informatics2021

Association between the chronology of gestation and the morphometrical skin characteristics at childbirth: a development of predictive model.

Ingrid Michelle Fonseca de Souza, Gabriela Luiza Nogueira Vitral, Marcelo Vidigal Caliari, Zilma Silveira Nogueira Reis

Abstract read
In one paragraph

Article in BMJ health & care informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

4 authors.

Ingrid Michelle Fonseca de SouzaObstetrics and Gynecology, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Gabriela Luiza Nogueira VitralPediatrics, Postgraduation Program, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Marcelo Vidigal CaliariDepartment of General Pathology, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Zilma Silveira Nogueira ReisInformatics Health Center, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil zilma.medicina@gmail.com.ORCID http://orcid.org/0000-0001-6374-9295

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe structural maturation of the skin is considered a potential marker of pregnancy dating. This study investigated the correlation between the morphometrical skin characteristics with the pregnancy chronology to propose models for predicting gestational age.

methodsA cross-sectional analysis selected 35 corpses of newborns. The biopsy was performed up to 48 hours after death in the periumbilical abdomen, palm and sole regions. Pregnancy chronology was based on the obstetric ultrasound before 14 weeks. The dimensions of the skin layers, area of glands and connective fibrous tissue were measured with imaging software support. Univariate and multivariate regression models on morphometric values were used to predict gestational age.

resultsGestational age at birth ranged from 20.3 to 41.2 weeks. Seventy-one skin specimens resulted in the analysis of 1183 digital histological images. The correlation between skin thickness and gestational age was positive and strong in both regions of the body. The highest univariate correlation between gestational age and skin thickness was using the epidermal layer dimensions, in palm (r=0.867, p<0.001). The multivariate modelling with the thickness of the abdominal epidermis, the dermis and the area of the sebaceous glands adjusted had the highest correlation with gestational age (r=0.99, p<0.001).

conclusionThe thickness of the protective epidermal barrier is, in itself, a potential marker of pregnancy dating. However, sets of values obtained from skin morphometry enhanced the estimation of the gestational age. Such findings may support non-invasive image approaches to estimate pregnancy dating with various clinical applications.

Indexed as

ParturitionSkinCross-Sectional StudiesFemaleGestational AgeHumansInfantInfant, NewbornPregnancyUltrasonography, Prenatalcomputerdelivery of health careimage processingmedical informatics applicationsProbability

Identifiers

PMID34876452
PMCPMC8655593

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.