Evidence map›Paper›PMID 34537946›Full record

SynthesisEnvironmental science and pollution research international2022

Comparative analysis of daily and hourly temperature variability in association with all-cause and cardiorespiratory mortality in 45 US cities.

Yong Yu, Siqi Luo, Yunquan Zhang, Linjiong Liu, Ke Wang, Le Hong, Qun Wang

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 1 country.

Yong Yu *School of Public Health, Hubei University of Medicine, Shiyan, 442000, China.
Siqi Luo *Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China.
Yunquan ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China.ORCID http://orcid.org/0000-0002-2618-5088
Linjiong LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China.
Ke WangDepartment of Nursing, Medical College, Wuhan University of Science and Technology, Wuhan, 430065, China.
Le HongDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China.
Qun WangSchool of Public Health, Hubei University of Medicine, Shiyan, 442000, China. hbmu@hbmu.edu.cn.
Wuhan University of Science and Technology · CNHubei University of Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Temperature variability (TV) has been widely associated with increased mortality risk and burden. Extensive researches have used the standard deviations of several days' daily maximum and minimum temperatures or hourly mean temperatures as daily and hourly TV measures (TV

Indexed as

BenchmarkingHot TemperatureAgedChinaCitiesCold TemperatureHumansMortalitySeasonsTemperatureTime FactorsAttributable fractionCardiovascularMortality riskRespiratoryTemperature variabilityUSA

Identifiers

PMID34537946
OpenAlexW3184088455

What OpenQuestion holds

Textmetadata
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.