Evidence map›Paper›PMID 36911049›Full record

ArticleFrontiers in global women's health2023

Differing prevalence of microcephaly and macrocephaly in male and female fetuses.

Amalia M Brawley, Eric W Schaefer, Elizabeth Lucarelli, Serdar H Ural, Cynthia H Chuang, Wenke Hwang, Ian M Paul, Carrie Daymont

Abstract read
In one paragraph

Article in Frontiers in global women's health, 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

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

1 citing paper in PubMed.

  1. Review
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.

Amalia M BrawleyDepartment of Obstetrics and Gynecology, Penn State College of Medicine, Hershey, PA, United States.
Eric W SchaeferDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, PA, United States.
Elizabeth LucarelliDepartment of Obstetrics and Gynecology, Penn State College of Medicine, Hershey, PA, United States.
Serdar H UralDepartment of Obstetrics and Gynecology, Penn State College of Medicine, Hershey, PA, United States.
Cynthia H ChuangDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, PA, United States.
Wenke HwangDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, PA, United States.
Ian M PaulDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, PA, United States.
Carrie DaymontDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, PA, United States.

Funding

Penn State Clinical and Translational Science InstituteUL1TR002014 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KRASCHNEWSKI, JENNIFER L. · 2016 to 2025
$33.7M
A novel use of web-based software to efficiently triage pre-surgical patients basR44TR000045 · NCATS · MEDSLEUTH, INC. · PI KALAMAS, ALICIA GRUBER · 2012 to 2012
$546k
NCATS NIH HHS R44 TR000045NCATS NIH HHS UL1 TR002014
6 · The paper itself

Abstract

Objective: To compare the proportion of female and male fetuses classified as microcephalic (head circumference [HC] < 3rd percentile) and macrocephalic (>97th percentile) by commonly used sex-neutral growth curves. Methods: For fetuses evaluated at a single center, we retrospectively determined the percentile of the first fetal HC measurement between 16 and 0/7 and 21-6/7 weeks using the Hadlock, Intergrowth-21st, and NICHD growth curves. The association between sex and the likelihood of being classified as microcephalic or macrocephalic was evaluated with logistic regression. Results: Female fetuses ( Conclusion: Female fetuses were more likely to be classified as microcephalic, and male fetuses were more likely to be classified as macrocephalic. Sex-specific fetal head circumference growth curves could improve interpretation of fetal head circumference measurements, potentially decreasing over- and under-diagnosis of microcephaly and macrocephaly based on sex, therefore improving guidance for clinical decisions. Additionally, the overall prevalence of atypical head size varied using three growth curves, with the NICHD and Intergrowth-21st curves fitting our population better than the Hadlock curves. The choice of fetal head circumference growth curves may substantially impact clinical care.

Indexed as

biometrygrowthmacrocephalymicrocephalyultrasound

Identifiers

PMID36911049
PMCPMC9998507

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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.