Evidence map›Paper›PMID 39229334›Full record

ArticleThe Lancet regional health. Western Pacific2024

The risk of hospitalization associated with hot nights and excess nighttime heat in a subtropical metropolis: a time-series study in Hong Kong, 2000-2019.

Yi Tong Guo, Ka Hung Chan, Hong Qiu, Eliza Lai-Yi Wong, Kin Fai Ho

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline 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. Article
  3. Article
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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

5 authors.

Yi Tong GuoJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China.
Ka Hung ChanClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Hong QiuJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China.
Eliza Lai-Yi WongJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China.
Kin Fai HoJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China.

Funding

British Heart Foundation RE/18/3/34214
6 · The paper itself

Abstract

Background: Recent studies showed increased mortality risks after hot nights, but their effect on hospitalizations, especially in vulnerable populations, remains under-studied. Methods: Daily hospitalization, meteorological (including hourly), and air pollution data were collected for the hot seasons (May-October) of 2000-19 in Hong Kong. We derived three hot-night metrics: HNday Findings: During the 3680 study days, 5,002,114 non-cancer non-external (NCNE) hospitalizations were recorded. Half (1874) of the days experienced excess nighttime heat (HNe>0) with a mean (SD) of 8.0 (6.8) °C⋅h; 499 and 187 hot nights were identified by HNday Interpretation: Excessive nighttime heat is significantly associated with increased hospitalizations, particularly affecting the elderly and socioeconomically disadvantaged individuals. Nighttime heat intensity should be incorporated in defining hot nights with public health relevance. Funding: British Heart Foundation.

Indexed as

Climate changeEnvironmentNighttimeSocioeconomicTemperatureUrban

Identifiers

PMID39229334
PMCPMC11367509

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.