Evidence map›Paper›PMID 36694822›Full record

ArticlePeerJ2023

A comparative study on third trimester fetal biometric parameters with maternal age.

Yogitha Poojari, Prudhvinath Reddy Annapureddy, Sharmila Vijayan, Vinoth Kumar Kalidoss, Yuvaraj Mf, Sankaran Pk

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In one paragraph

Article in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

6 authors.

Yogitha Poojari *All India Institute of Medical Sciences, Mangalagiri, Andhra Pradesh, India.
Prudhvinath Reddy AnnapureddyDept of Radio-Diagnosis, All India Institute of Medical Sciences, Mangalagiri, Andhra Pradesh, India.
Sharmila VijayanDept of Obstetrics and Gynaecology, All India Institute of Medical Sciences, Mangalagiri, Andhra Pradesh, India.
Vinoth Kumar KalidossDept of Community and Family Medicine, All India Institute of Medical Sciences, Mangalagiri, Andhra Pradesh, India.
Yuvaraj MfDepartment of Anatomy, Saveetha Medical College and Hospital, Chennai, Tamil nadu, India.
Sankaran Pk *Department of Anatomy, All India Institute of Medical Sciences, Mangalagiri, Andhra Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Advanced maternal age is an important parameter associated with increased risk of feto-maternal complications and it is an evolving trend in society for women planning for pregnancy in late ages. However there are no studies done whether advanced maternal age has its effects on expression of growth pattern in the fetus. So this study was done to compare the maternal age with the third trimester fetal biometric parameters. Methods: This study was done in 100 antenatal women and divided into two groups: Group 1: optimal maternal age group between 21-29 years of age and Group 2: advanced maternal age 30 and above. The pre-pregnant maternal weight, gestational age and third trimester fetal biometrics using ultrasound are noted and compared between the groups. Results: The maternal weight gain between the groups was optimal but the third trimester fetal parameters were significantly less in advanced maternal age. The abdominal circumference in optimal age group and head circumference in advanced maternal age group was closer to calculated estimated date of delivery (EDD) and would be specific in calculating the gestational age. Conclusions: Though there is no significant difference in maternal weight gain, there are fetal growth restrictions in advanced maternal age group due to which the third trimester fetal parameters are lesser than the optimal age group. Head circumference would be specific in calculating the estimated date of delivery in advanced maternal age group.

Indexed as

Gestational Weight GainAdultBiometryFemaleFetusHumansMaternal AgePregnancyPregnancy Trimester, ThirdUltrasonography, PrenatalYoung AdultBiometryFetal developmentGestational agePrenatal ultrasonographyThird trimester

Identifiers

PMID36694822
PMCPMC9867875

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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.