Evidence map›Paper›PMID 24989619›Full record

ArticleBMJ open2014

Temporal relationship between hospital admissions for pneumonia and weather conditions in Shanghai, China: a time-series analysis.

Yuan Liu, Haidong Kan, Jianming Xu, David Rogers, Li Peng, Xiaofang Ye, Renjie Chen, Yue Zhang, Weibing Wang

Abstract read
In one paragraph

Article in BMJ open, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Pooled it
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  8. Article
  9. Lagged Association between Climate Variables and Hospital Admissions for Pneumonia in South Africa.International journal of environmental research and public health · 2021
    Article
  10. Article
  11. Analysis of Pneumonia Occurrence in Relation to Climate Change in Tanga, Tanzania.International journal of environmental research and public health · 2021
    Article
  12. 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

9 authors.

Yuan LiuSchool of Public Health and Key Laboratory of Public Health Safety (Ministry of Education), Fudan University, Shanghai, China.
Haidong KanSchool of Public Health and Key Laboratory of Public Health Safety (Ministry of Education), Fudan University, Shanghai, China Fudan Tyndall Centre, Shanghai, China.
Jianming XuShanghai Center for Urban Environmental Meteorology, Shanghai, China Shanghai Key Laboratory of Meteorology and Health, Shanghai, China.
David RogersHealth and Climate Foundation, Washington DC, USA.
Li PengShanghai Center for Urban Environmental Meteorology, Shanghai, China Shanghai Key Laboratory of Meteorology and Health, Shanghai, China.
Xiaofang YeShanghai Center for Urban Environmental Meteorology, Shanghai, China Shanghai Key Laboratory of Meteorology and Health, Shanghai, China.
Renjie ChenSchool of Public Health and Key Laboratory of Public Health Safety (Ministry of Education), Fudan University, Shanghai, China.
Yue ZhangSchool of Public Health and Key Laboratory of Public Health Safety (Ministry of Education), Fudan University, Shanghai, China.
Weibing WangSchool of Public Health and Key Laboratory of Public Health Safety (Ministry of Education), Fudan University, Shanghai, China Fudan Tyndall Centre, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore the association between weather conditions and hospital admissions for pneumonia in Shanghai.

designA time-series analysis was performed for a period of 4 years (January 2008-December 2011). A generalised additive model was used to calculate the relative risks.

settingShanghai, China.

participantsAll daily hospital admissions for pneumonia were obtained from the Shanghai health insurance system between 1 January 2008 and 31 December 2011 (n=99 403).

resultsThe relationship between the mean temperature and pneumonia hospital admissions followed a V-shaped curve, with an optimum temperature (OT) at 13°C. When the mean temperature was below the OT, a 1°C decrease corresponded to a 4.88% (95% CI 2.71% to 7.09%) and 5.34% (95% CI 2.04% to 8.74%) increase in pneumonia hospital admissions in lag 4 using a single-day lag structure and lag 0-7 using a multiday lag structure. When the mean temperature ≥OT, no adverse effects from the temperature on pneumonia hospital admissions were found. The magnitude of the effects of temperature varied across gender and age groups. Hospitalisations for pneumonia increased by 15.99% (95% CI 0.06% to 34.46%) in the cold period.

conclusionsCold temperature may be one of the important risk factors for pneumonia hospitalisations. Prevention programmes are needed to reduce the impact of cold temperature on pneumonia hospitalisations such as developing a weather warning system within a wide public health context.

Indexed as

WeatherAdultAgedChinaCold TemperatureFemaleHumansMaleMiddle AgedPatient AdmissionPneumoniaTime Factorsgeneralized additive modelpneumoniatemperaturetime-series

Identifiers

PMID24989619
PMCPMC4091538

What OpenQuestion holds

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LicenceCC BY-NC
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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.