Evidence map›Paper›PMID 40711057›Full record

ArticleTropical medicine and infectious disease2025

Global Trends and Attributable Risk Factors in the Disease Burden of Lower Respiratory Infections.

E Yu, Chunhui Li

Abstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

E YuInstitute of Data Science and Big Data Technology, School of Mathematics and Physics, Wuhan Institute of Technology, Wuhan 430205, China.
Chunhui LiInstitute of Data Science and Big Data Technology, School of Mathematics and Physics, Wuhan Institute of Technology, Wuhan 430205, China.

Funding

Wuhan Institute of Technology Science Research Foundation 23QD28
6 · The paper itself

Abstract

backgroundLower respiratory infections (LRIs) are the leading cause of the global disease burden, accounting for millions of deaths each year.

methodsData on LRIs, including deaths, disability-adjusted life years (DALYs), and incidence, were obtained from the Global Burden of Disease Study 2021. Joinpoint regression was employed to assess temporal trends in the LRIs' burden, while the age-period-cohort model was used to evaluate age, period, and cohort effects. Pearson's correlation coefficients were calculated to examine the relationship between DALYs attributable to risk factors and the socio-demographic index (SDI).

resultsOver recent decades, the average annual percentage change in age-standardized mortality rate, age-standardized DALYs rate, and age-standardized incidence rate of LRIs globally were -2.4%, -3.5%, and -1.3%, respectively. Notably, the LRIs' burden dropped considerably from 2019 to 2021. The disease burden was higher among children under five and individuals over 60 compared to other age groups. In terms of gender, males had a higher burden. The age-standardized DALYs rate of LRIs was strongly and negatively correlated with SDI (

conclusionsIn recent years, the global burden of LRIs has declined, but regional, gender, and age disparities persist. Targeted measures are needed to address high-risk populations and major risk factors.

Indexed as

age–period–cohort modellower respiratory infectionsrisk factorsvariation trendworldwide disease burden

Identifiers

PMID40711057
PMCPMC12300696

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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.