Evidence map›Paper›PMID 37545812›Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2023

Does choice of outdoor heat metric affect heat-related epidemiologic analyses in the US Medicare population?

Keith R Spangler, Quinn H Adams, Jie Kate Hu, Danielle Braun, Kate R Weinberger, Francesca Dominici, Gregory A Wellenius

Abstract read
In one paragraph

Article in Environmental epidemiology (Philadelphia, Pa.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Building the model: a review of input structures in extreme temperature-health.Environmental health : a global access science source · 2026
    Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Excess risk of heat-related hospitalization associated with temperature and PMEnvironmental epidemiology (Philadelphia, Pa.) · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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.

Keith R SpanglerDepartment of Environmental Health, Boston University School of Public Health, Boston, Massachusetts.ORCID https://orcid.org/0000-0002-8904-7280
Quinn H AdamsDepartment of Environmental Health, Boston University School of Public Health, Boston, Massachusetts.
Jie Kate HuDepartment of Biostatistics, Harvard University T.H. Chan School of Public Health, Boston, Massachusetts.
Danielle BraunDepartment of Biostatistics, Harvard University T.H. Chan School of Public Health, Boston, Massachusetts.
Kate R WeinbergerUniversity of British Columbia, School of Population and Public Health, Vancouver, British Columbia, Canada.
Francesca DominiciDepartment of Biostatistics, Harvard University T.H. Chan School of Public Health, Boston, Massachusetts.
Gregory A WelleniusDepartment of Environmental Health, Boston University School of Public Health, Boston, Massachusetts.

Funding

Training Program in Environmental EpidemiologyT32ES007069 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI LADEN, FRANCINE · 1985 to 2024
$13.9M
Evidence to improve heat warning effectiveness in reducing morbidity and mortality.R01ES029950 · NIEHS · BROWN UNIVERSITY · PI WELLENIUS, GREGORY A · 2019 to 2022
$2.5M
NIEHS NIH HHS R01 ES029950NIEHS NIH HHS T32 ES007069Wellcome Trust
6 · The paper itself

Abstract

Outdoor air temperature is associated with increased morbidity and mortality. Other thermal indices theoretically confer greater physiological relevance by incorporating additional meteorological variables. However, the optimal metric for predicting excess deaths or hospitalizations owing to extreme heat among US Medicare beneficiaries remains unknown. Methods: We calculated daily maximum, minimum, and mean outdoor air temperature (T), heat index (HI), wet-bulb globe temperature (WBGT), and Universal Thermal Climate Index (UTCI) for populous US counties and linked estimates with daily all-cause mortality and heat-related hospitalizations among Medicare beneficiaries (2006-2016). We fit distributed-lag nonlinear models for each metric and compared relative risks (RRs) at the 99th percentile. Results: Across all heat metrics, extreme heat was statistically significantly associated with elevated risks of morbidity and mortality. Associations were more pronounced for maximum daily values versus the corresponding minimum for the same metric. The starkest example was between HI Conclusion: Among Medicare beneficiaries in populous US counties, daily maximum and mean values of outdoor heat are associated with greater RRs of heat-related morbidity and all-cause mortality versus minimum values of the same metric. The choice of heat metric (e.g., temperature versus HI) does not appear to substantively affect risk calculations in this population.

Identifiers

PMID37545812
PMCPMC10402938

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.