Evidence mapPaperPMID 41479685Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2026

Excess risk of heat-related hospitalization associated with temperature and PM

Lauren Mock, Rachel C Nethery, Poonam Gandhi, Ashwaghosha Parthasarathi, Melanie Rua, David Robinson, Soko Setoguchi, Kevin Josey

Abstract read
In one paragraph

Article in Environmental epidemiology (Philadelphia, Pa.), 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

8 authors.

Lauren MockDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.ORCID https://orcid.org/0009-0005-6868-6277
Rachel C NetheryDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.ORCID https://orcid.org/0000-0001-9895-1477
Poonam GandhiRutgers University Institute for Health, Healthcare Policy, and Aging Research, New Brunswick, New Jersey.
Ashwaghosha ParthasarathiRutgers University Institute for Health, Healthcare Policy, and Aging Research, New Brunswick, New Jersey.ORCID https://orcid.org/0000-0002-7270-0247
Melanie RuaRutgers University Institute for Health, Healthcare Policy, and Aging Research, New Brunswick, New Jersey.
David RobinsonDepartment of Geography, Rutgers University, Piscataway, New Jersey.
Soko SetoguchiRutgers University Institute for Health, Healthcare Policy, and Aging Research, New Brunswick, New Jersey.ORCID https://orcid.org/0000-0002-1583-752X
Kevin JoseyDepartment of Biostatistics and Informatics, Colorado School of Public Health, Aurora, Colorado.ORCID https://orcid.org/0000-0003-2490-6272

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With rising temperatures and an aging population, understanding how to prevent heat-related illness among older adults will be increasingly crucial. Despite biological plausibility, no study to date has investigated how exposure to fine particulate matter air pollution (PM Methods: We identified Medicare fee-for-service beneficiaries in the contiguous United States who experienced a heat-related hospitalization between 2008 and 2016. Using a case-crossover design and fitting Bayesian conditional logistic regression models, we characterized the associations of temperature and PM Results: We observed 112,969 heat-related hospitalizations among 29,345,820 Medicare beneficiaries in the study sample. Fixing PM Conclusions: Our study is the first to observe synergism between temperature and PM

Indexed as

Air pollutionCase-crossoverExposure synergismHeat-related illnessMedicareTemperature

Identifiers

PMID41479685
PMCPMC12755698

What Socratic 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 Socratic graph.