Evidence map›Paper›PMID 42527475›Full record

Articlenpj health systems2025

Allocation of the National Institutes of Health funding and burden of disease in 2008-2021 in the United States.

Tianjiao Gao, Olivia Han, Guohong Li, Wu Zeng

Abstract read
In one paragraph

Article in npj health systems, 2025. 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

4 authors.

Tianjiao GaoDepartment of Global Health, Georgetown University, Washington, D.C, US.
Olivia HanDepartment of Global Health, Georgetown University, Washington, D.C, US.
Guohong LiSchool of Global Health, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Wu ZengDepartment of Global Health, Georgetown University, Washington, D.C, US. wz192@georgetown.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The National Institutes of Health (NIH) is critical in funding innovations in disease detection and treatment. We constructed a panel dataset that combined NIH funding allocation and the burden of disease (BoD) for 65 disease categories from 2008 through 2021 in the United States. A dynamic panel data model was employed to examine the relationship between NIH funding allocation and existing and prior BoD, while controlling for prior NIH funding allocation. We found an increase in both NIH funding and BoD over 2008-2021. Cross-sectionally, NIH funding allocation was associated with BoD in 2021 but not in 2008. However, longitudinally, NIH funding allocation was not associated with BoD in any specific year within the past five years. Thus, there is a weak association between the population's health needs and NIH funding allocation, necessitating targeted strategies to incentivize public funding to better align with the changes in population health status.

Identifiers

PMID42527475
PMCPMC13354204

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.