Evidence map›Paper›PMID 42824217›Full record

ArticleCureus2026

Male Senescence Phenotypes Include Hair Loss and Hair Gain.

Colleen Reisz, An-Lin Cheng

Abstract read
In one paragraph

Article in Cureus, 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

2 authors.

Colleen ReiszInternal Medicine, University of Missouri-Kansas City School of Medicine, Kansas City, USA.
An-Lin ChengBiomedical and Health Informatics, University of Missouri-Kansas City School of Medicine, Kansas City, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMale pattern baldness is a prominent component of senescence phenotypes. Hair loss on the scalp is frequently accompanied by hair gain in the concha. The change in hair follicle fate near sensory apertures, such as the ear, nose, and eye, may be more than a cosmetic concern and represent an age-related adaptation in neurosensory communication. Epidemiologists have proposed that the propensity for age-related diseases is programmed during gestation.

objectivesThis study aimed to investigate variables related to the maternal-fetal interface to hair loss and hair gain measurements in men, as well as to investigate the relationship between age-related hair loss on the scalp and concurrent hair gain in the concha in men.

methodsThis is a cross-sectional observational study conducted in a general dermatology clinic. Because accurate birth data are not available in this study population, three proxy variables (maternal age, birth order, and intersibling gap measured in months) were used to approximate the intrauterine environment on follicle fate. Hamilton Norwood ratings were collected by a dermatologist. Historical recall on height and weight at age 18 was compared with actual height and weight collected at the time of visit.

resultsSignificant negative correlations were observed between maternal age and intersibling gap, and hair loss scores. Higher hair loss scores on the Hamilton-Norwood scale correlated directly with hair gain in the conchal bowl.

conclusionsThe gain of whisker-type hair in the conchal bowl, a key sensory aperture, may have clinical applications outside cosmetic concerns. The conchal hair growth scale may have greater inter-rater reliability across disciplines that study aging.

Indexed as

auditory scienceconchal hair growth rating scaledevelopmental origins of adult disease theorygerosciencemale pattern baldnessmaternal-fetal interface

Identifiers

PMID42824217
PMCPMC13627078

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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.