Evidence map›Paper›PMID 34988822›Full record

SynthesisEnvironmental science and pollution research international2022

Ambient temperature, humidity, and urinary system diseases: a population-based study in Western China.

Yanlin Li, Bo Wang, Shunxia Wang, Shenggang Xu, Sheng Li, Hupeng He, Jingping Niu, Bin Luo

Open access · greenAbstract 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 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
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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 at 6 institutions in 1 country.

Yanlin LiInstitute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.
Bo WangInstitute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.
Shunxia WangDepartment of General Medicine, the First Hospital of Tianshui, Tianshui, Gansu, 741000, People's Republic of China.
Shenggang XuMedical College of Hexi University, Zhangye, Gansu, 734000, People's Republic of China.
Sheng LiThe First People's Hospital of Lanzhou, Lanzhou, Gansu, 730050, People's Republic of China.
Hupeng HeGansu Provincial Centre for Diseases Prevention and Control, Lanzhou, Gansu, 730000, People's Republic of China.
Jingping NiuInstitute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.
Bin LuoInstitute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China. luob@lzu.edu.cn.ORCID http://orcid.org/0000-0001-9324-8942
Lanzhou University · CNFirst Hospital of Lanzhou University · CNGansu Provincial Center for Disease Control and Prevention · CNHexi University · CNShanghai Meteorological Bureau · CNThe First People's Hospital of Tianmen · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate has received an increasing attention due to its adverse effects on human health, but the effects on the urinary system are still short of enough evidence. Therefore, we carry out this study to analyze the relationship between meteorological factors and urinary system health in arid areas of western China. In this study, the daily numbers of outpatients with the urinary system diseases from multiple hospitals in three cities in Gansu province (Lanzhou, Zhangye, and Tianshui city) were collected and used for analysis. The distributed lag non-linear models (DLNM) with a quasi-Poisson distribution were used to estimate the associations between meteorological factors and daily outpatients for urinary system diseases in these three cities, and then a multivariate meta-analysis was applied to pool the estimates of city-specific effects. We found that the ambient temperature (AT) and relative humidity (RH) were significantly associated with the outpatient visits of urinary system diseases. The effects of meteorological factors on outpatients with urinary system diseases for both males and females were statistically significant at different lag days. The higher AT and lower RH were associated with the higher risk of urinary system diseases. We also observed substantial lag effects of meteorological factors on outpatients for both males and females. Among all disease types, renal tubule-interstitial diseases had the strongest relationships with meteorological factors. Our results indicate that the higher AT and lower RH may increase the outpatient visits for urinary system diseases, with significant lag effects in semi-arid areas.

Indexed as

Meteorological ConceptsChinaCitiesFemaleHumansHumidityMaleTemperatureAmbient temperatureDiurnal temperature rangeDLNMMeteorological factorsOutpatient visitsRelative humidityUrinary system diseases

Identifiers

PMID34988822
OpenAlexW4205117179

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.