Evidence map›Paper›PMID 38947253›Full record

ArticleGlobal heart2024

Temporal Trends and Burden of Rheumatic Heart Disease in South Asia: A Comprehensive Analysis of Three Decades from Global Burden of Disease Study.

Khalid Naseeb, Muhammad Nauman Khan, Najia Aslam Soomro, Abdul Hameed, Gian Chand, Jaghat Ram, Ahmed Raheem

Abstract readMulticenter Study
In one paragraph

Article in Global heart, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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

7 authors.

Khalid NaseebNational Institute of Cardiovascular Diseases (NICVD), Karachi, Pakistan.ORCID 0009-0000-9661-2631
Muhammad Nauman KhanNational Institute of Cardiovascular Diseases (NICVD), Karachi, Pakistan.ORCID 0000-0002-2985-6633
Najia Aslam SoomroLiaquat National hospital and Medical College, Karachi, Pakistan.ORCID 0009-0007-9382-5210
Abdul HameedNational Institute of Cardiovascular Diseases (NICVD), Karachi, Pakistan.ORCID 0009-0006-4508-721X
Gian ChandNational Institute of Cardiovascular Diseases (NICVD), Karachi, Pakistan.ORCID 0009-0009-9291-8444
Jaghat RamNational Institute of Cardiovascular Diseases (NICVD), Karachi, Pakistan.ORCID 0009-0007-4696-4146
Ahmed RaheemAga Khan University Hospital, Karachi, Pakistan.ORCID 0000-0003-4367-1042

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The objective of this study is to conduct a temporal analysis of rheumatic heart disease (RHD) disease burden trends over a 30-year period (1991 to 2021), focusing on prevalence, deaths, and disability-adjusted life years (DALYs) in the South Asia (SA). Methods: In this ecological study, we analyzed data regarding burden of RHD from the Global Burden of Diseases (GBD) study spanning the years 1991 to 2021 for the SA Region. Estimates of the number RHD-related prevalence, deaths, and DALYs along with age-standardized rates (ASR) per 100,000 population and 95% uncertainty intervals (UI) were evaluated. Results: The overall prevalent cases of RHD in the 2021 were 54785.1 × 10 Conclusion: The rising age-standardized prevalence of RHD remains a global concern, especially in South Asia which contribute to over 50% of global RHD-related deaths. Encouragingly, declining trends in RHD-related deaths and DALYs hint at progress in RHD management and treatment on both a global and regional scale.

Indexed as

Global Burden of DiseaseRheumatic Heart DiseaseAdultAsiaAsia, SouthernCost of IllnessDisability-Adjusted Life YearsFemaleHumansMaleMiddle AgedPrevalenceQuality-Adjusted Life YearsRetrospective Studiesburdendeathsprevalencerheumatic heart diseaseSouth Asia

Identifiers

PMID38947253
PMCPMC11212786

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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.