Evidence map›Paper›PMID 32207004›Full record

SynthesisEnvironmental science and pollution research international2020

Diabetes mortality burden attributable to short-term effect of PM

Jun Yang, Maigeng Zhou, Fengying Zhang, Peng Yin, Boguang Wang, Yuming Guo, Shilu Tong, Hao Wang, Chunlin Zhang, Qinghua Sun and 2 more

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Environmental science and pollution research international, 2020. 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
–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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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.

Jun YangInstitute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China. yangjun_eci@jnu.edu.cn.
Maigeng ZhouNational Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, 100050, China.
Fengying ZhangChina National Environmental Monitoring Centre, Beijing, 100012, China.
Peng YinNational Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, 100050, China.
Boguang WangInstitute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China.
Yuming GuoSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Shilu TongDepartment of Clinical Epidemiology and Biostatistics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hao WangInstitute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China.
Chunlin ZhangInstitute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China.
Qinghua SunDivision of Environmental Health Sciences, College of Public Health, The Ohio State University, Columbus, OH, 43210, USA.
Xiuping SongState Key Laboratory of 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.
Qiyong LiuState Key Laboratory of 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. liuqiyong@icdc.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ambient air pollution may be associated with diabetes mellitus. However, evidence from developing countries is limited although the concentrations of air pollution are disproportionably higher in these countries. We collected daily data on diabetes mortality, air pollution, and weather conditions from 16 Chinese provincial cities during 2007-2013. A quasi-Poisson regression combined with a distributed lag model was used to quantify the city-specific mortality risk of PM

Indexed as

Diabetes MellitusEnvironmental ExposureParticulate MatterAdolescentAdultAgedAir PollutantsAir PollutionChildChild, PreschoolChinaCitiesFemaleHumansInfantInfant, NewbornAir PollutantsParticulate MatterAir pollutionAttributable fractionChinaDiabetes mortalityParticulate matter

Identifiers

PMID32207004

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.