Evidence map›Paper›PMID 37670366›Full record

SynthesisMilitary Medical Research2023

Heat exposure and hospitalizations for chronic kidney disease in China: a nationwide time series study in 261 major Chinese cities.

Fu-Lin Wang, Wan-Zhou Wang, Fei-Fei Zhang, Su-Yuan Peng, Huai-Yu Wang, Rui Chen, Jin-Wei Wang, Peng-Fei Li, Yang Wang, Ming-Hui Zhao and 2 more

Open access · diamondAbstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Military Medical Research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
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, 13 citations in OpenAlex.

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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

12 authors at 4 institutions in 2 countries.

Fu-Lin Wang *Institute of Medical Technology, Peking University Health Science Center, Beijing, 100191, China.
Wan-Zhou Wang *Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China.
Fei-Fei ZhangNational Institute of Health Data Science at Peking University, Beijing, 100191, China.
Su-Yuan PengNational Institute of Health Data Science at Peking University, Beijing, 100191, China.
Huai-Yu WangNational Institute of Health Data Science at Peking University, Beijing, 100191, China.
Rui ChenRenal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, 100034, China.
Jin-Wei WangRenal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, 100034, China.
Peng-Fei LiAdvanced Institute of Information Technology, Peking University, Hangzhou, 311215, China.
Yang WangNational Climate Center, China Meteorological Administration, Beijing, 100081, China.
Ming-Hui ZhaoRenal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, 100034, China.
Chao YangRenal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, 100034, China. yangchao@bjmu.edu.cn.
Lu-Xia ZhangNational Institute of Health Data Science at Peking University, Beijing, 100191, China. zhanglx@bjmu.edu.cn.
Peking University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNChina Meteorological Administration · CNKing University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClimate change profoundly shapes the population health at the global scale. However, there was still insufficient and inconsistent evidence for the association between heat exposure and chronic kidney disease (CKD).

methodsIn the present study, we studied the association of heat exposure with hospitalizations for cause-specific CKD using a national inpatient database in China during the study period of hot season from 2015 to 2018. Standard time-series regression models and random-effects meta-analysis were developed to estimate the city-specific and national averaged associations at a 7 lag-day span, respectively.

resultsA total of 768,129 hospitalizations for CKD was recorded during the study period. The results showed that higher temperature was associated with elevated risk of hospitalizations for CKD, especially in sub-tropical cities. With a 1 °C increase in daily mean temperature, the cumulative relative risks (RR) over lag 0-7 d were 1.008 [95% confidence interval (CI) 1.003-1.012] for nationwide. The attributable fraction of CKD hospitalizations due to high temperatures was 5.50%. Stronger associations were observed among younger patients and those with obstructive nephropathy. Our study also found that exposure to heatwaves was associated with added risk of hospitalizations for CKD compared to non-heatwave days (RR = 1.116, 95% CI 1.069-1.166) above the effect of daily mean temperature.

conclusionsShort-term heat exposure may increase the risk of hospitalization for CKD. Our findings provide insights into the health effects of climate change and suggest the necessity of guided protection strategies against the adverse effects of high temperatures.

Indexed as

Hot TemperatureRenal Insufficiency, ChronicChinaCitiesHospitalizationHumansTime FactorsChronic kidney diseaseClimate changeHospitalizationTemperatureTime-series study

Identifiers

PMID37670366
PMCPMC10478241
OpenAlexW4386458503

What OpenQuestion holds

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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.