Evidence map›Paper›PMID 42699475›Full record

ArticleEJIFCC2026

Assessing Testosterone Epidemiology Using Distributional Approaches: Evidence From Large-Scale Longitudinal Laboratory Dataset in Pakistan.

Sibtain Ahmed, Minal Imran, Imran Siddiqui

Abstract read
In one paragraph

Article in EJIFCC, 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
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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

3 authors.

Sibtain AhmedDepartment of Pathology and Laboratory Medicine, Aga Khan University, Karachi, Pakistan.
Minal ImranAga Khan University Medical College, Karachi, Pakistan.
Imran SiddiquiDepartment of Pathology and Laboratory Medicine, Aga Khan University, Karachi, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Testosterone is the main circulating androgen in adult males and serves a crucial role in reproductive function, skeletal health, metabolic regulation, and overall physiological stability. In recent decades, concern has emerged regarding possible secular changes in serum testosterone concentrations, independent of aging. However, findings across populations remain inconsistent, and most evidence originates from high-income settings. Objective: This study aimed to evaluate long-term temporal patterns in serum testosterone levels among adult men, with particular emphasis on distributional shifts and population-wide hormonal instability, rather than solely on a mean decline. Methods: A retrospective observational analysis was conducted using anonymized laboratory-based serum testosterone measurements from adult males aged ≥18 years between 2008 and 2025. Only the earliest measurement per individual was included to reduce repeat testing bias. Annual descriptive statistics were calculated, and temporal trends were assessed using linear regression. Age-stratified analysis, percentile drift evaluation, and reference interval shifts were used to explore changes across the testosterone distribution over time. Results: A total of 104,559 testosterone measurements were analysed over 17 years. Linear regression demonstrated a statistically significant but clinically minimal association between calendar year and testosterone concentration (β = +1.97 ng/dL/year, p < 0.001; R2 = 0.002). Substantial overlap in testosterone distribution was observedacross age groups, with notable inter year variability. Percentile drift analyses indicated parallel movement across the distribution, suggesting population-wide hormonal fluctuation rather than a uniform secular decline. Conclusion: Mean testosterone levels did not demonstrate a consistent age-independent decline. Instead, findings support a temporal instability and persistent low exposure subgroups, emphasising the importance of distributional approaches in understanding contemporary hormonal epidemiology.

Indexed as

LaboratoryPakistanPopulationTestosteroneTrends

Identifiers

PMID42699475
PMCPMC13543412

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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.