Evidence map›Paper›PMID 42695079›Full record

ArticleCureus2026

Temporal Trends and Sex Differences in Disability-Adjusted Life Years (DALYs), Years Lived With Disability (YLDs), and Years of Life Lost (YLLs) Attributable to Infectious Diseases in Afghanistan: Global Burden of Disease 2023 Estimates, 1999-2023.

Ahmad Khan, Melanie Tidman

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.

Ahmad KhanHealth Sciences, Andrew Taylor (A.T.) Still University, Albuquerque, USA.
Melanie TidmanHealth Sciences, Andrew Taylor (A.T.) Still University, Albuquerque, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined 25 years (1999-2023) of Global Burden of Disease (GBD) 2023 data to understand how infectious disease burden has changed over time in Afghanistan and whether men and women are affected differently. The study analyzed disability‑adjusted life years (DALYs), years lived with disability (YLDs), and years of life lost (YLLs) for 46 infectious etiologies, generating 2,300 disease-year-sex data points for DALYs and YLDs, and 2,292 for YLLs. Annual Wilcoxon signed-rank tests showed that men had higher DALY and YLL rates for many etiologies in most years, with particularly consistent male excess from 2016 onward, whereas women had higher YLD rates for many etiologies throughout the study period. When pooled across all 25 years, the overall Mann-Whitney U test found no significant sex difference in DALYs (p=0.158) or YLLs (p=0.161), but did find a significant female excess in YLDs (p=0.017). Generalized estimating equation models (GEE), which accounted for repeated annual observations within each etiology-by-sex series, showed significant declines in burden rates over time. DALY rates declined by 5.354 units per year (95% confidence interval (CI): -8.178 to -2.530), YLL rates declined by 5.301 units per year (95% CI: -8.105 to -2.498), and YLD rates declined by 0.043 units per year (95% CI: -0.066 to -0.020; all p<0.001). Sex-by-year interactions were not statistically significant for DALYs (p=0.938), YLLs (p=0.936), or YLDs (p=0.792). Severity-stratified heatmap analysis classified five etiologies (10.9%) as high burden, 32 etiologies (69.6%) as intermediate burden, and nine etiologies (19.6%) as low burden according to their cross-etiology mean DALY rates.

Indexed as

afghanistandalysinfectious diseaseslower-income countriesyldsylls

Identifiers

PMID42695079
PMCPMC13541080

What OpenQuestion holds

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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.