Evidence map›Paper›PMID 26247571›Full record

ArticleScientific reports2015

The burden of ambient temperature on years of life lost in Guangzhou, China.

Jun Yang, Chun-Quan Ou, Yuming Guo, Li Li, Cui Guo, Ping-Yan Chen, Hua-Liang Lin, Qi-Yong Liu

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. The impact of heat and cold events on direct, indirect, and intangible healthcare costs: a systematic review.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
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  16. A new method to estimate the temperature-CVD mortality relationship.Environmental science and pollution research international · 2019
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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

8 authors.

Jun Yang1] State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China [2] Climate Change and Health Center, Shandong University, Jinan 250012, China.
Chun-Quan OuState Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou 510515, China.
Yuming GuoDivision of Epidemiology and Biostatistics, School of Public Health, The University of Queensland, Brisbane, Queensland 4006, Australia.
Li LiState Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou 510515, China.
Cui GuoState Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou 510515, China.
Ping-Yan ChenState Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou 510515, China.
Hua-Liang LinGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Qunxian Road, 160, Guangzhou 511430, China.
Qi-Yong Liu1] State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China [2] Climate Change and Health Center, Shandong University, Jinan 250012, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Limited evidence is available on the association between temperature and years of life lost (YLL). We applied distributed lag non-linear model to assess the nonlinear and delayed effects of temperature on YLL due to cause-/age-/education-specific mortality in Guangzhou, China. We found that hot effects appeared immediately, while cold effects were more delayed and lasted for 14 days. On average, 1 °C decrease from 25(th) to 1(st) percentile of temperature was associated with an increase of 31.15 (95%CI: 20.57, 41.74), 12.86 (8.05, 17.68) and 6.64 (3.68, 9.61) YLL along lag 0-14 days for non-accidental, cardiovascular and respiratory diseases, respectively. The corresponding estimate of cumulative hot effects (1 °C increase from 75(th) to 99(th) percentile of temperature) was 12.71 (-2.80, 28.23), 4.81 (-2.25, 11.88) and 2.81 (-1.54, 7.16). Effect estimates of cold and hot temperatures-related YLL were higher in people aged up to 75 years and persons with low education level than the elderly and those with high education level, respectively. The mortality risks associated with cold and hot temperatures were greater on the elderly and persons with low education level. This study highlights that YLL provides a complementary method for assessing the death burden of temperature.

Indexed as

AgedCardiovascular DiseasesChinaClimateClimate ChangeCold TemperatureFemaleHot TemperatureHumansMaleNonlinear DynamicsRespiratory Tract Diseases

Identifiers

PMID26247571
PMCPMC4527090

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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.