Evidence map›Paper›PMID 35534062›Full record

ArticleBMJ open2022

Sero-prevalence of 19 infectious pathogens and associated factors among middle-aged and elderly Chinese adults: a cross-sectional study.

Pang Yao, Iona Millwood, Christiana Kartsonaki, Alexander J Mentzer, Naomi Allen, Rima Jeske, Julia Butt, Yu Guo, Yiping Chen, Robin Walters and 9 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 16% 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, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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  6. Acyclic graphs to define models of relationships between human cytomegalovirus, cardiovascular disease and all-cause mortality in UK Biobank.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
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  7. Calibrating multiplex serology for Helicobacter pylori.Diagnostic and prognostic research · 2025
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  8. Article
  9. Article
  10. AdvancingMicrobiology spectrum · 2024
    Article
  11. 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

19 authors at 7 institutions in 4 countries.

Pang YaoClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0002-6875-7435
Iona MillwoodClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Christiana KartsonakiClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Alexander J MentzerThe Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Naomi AllenClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Rima JeskeInfections and Cancer Epidemiology Division, German Cancer Research Center, Heidelberg, Germany.ORCID 0000-0003-4596-3778
Julia ButtInfections and Cancer Epidemiology Division, German Cancer Research Center, Heidelberg, Germany.
Yu GuoFuwai Hospital Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Beijing, China.
Yiping ChenClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Robin WaltersClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Jun LvDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.ORCID 0000-0001-7916-3870
Canqing YuDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Martyn PlummerDepartment of Statistics, University of Warwick, Coventry, UK.
Catherine de MartelEarly Detection, Prevention and Infections Branch, International Agency for Research on Cancer, Lyon, France.
Gary CliffordEarly Detection, Prevention and Infections Branch, International Agency for Research on Cancer, Lyon, France.
Li-Ming LiDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Tim WaterboerInfections and Cancer Epidemiology Division, German Cancer Research Center, Heidelberg, Germany.
Ling YangClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK ling.yang@ndph.ox.ac.uk.
Zhengming ChenClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
University of Oxford · GBGerman Cancer Research Center · DEPeking University · CNCentre international de recherche sur le cancer · FRCentre for Human Genetics · GBChinese Academy of Medical Sciences & Peking Union Medical College · CNUniversity of Warwick · GB

Funding

British Heart Foundation CH/1996001/9454Cancer Research UK 24504Cancer Research UK 29186Medical Research Council MC_U137686851Medical Research Council MC_UU_00017/1Medical Research Council MC_UU_12026/2Wellcome Trust 212946/Z/18/ZWorld Health Organization 001
6 · The paper itself

Abstract

objectivesTo systematically assess the sero-prevalence and associated factors of major infectious pathogens in China, where there are high incidence rates of certain infection-related cancers.

designCross-sectional study.

setting10 (5 urban, 5 rural) geographically diverse areas in China.

participantsA subcohort of 2000 participants from the China Kadoorie Biobank. PRIMARY MEASURES: Sero-prevalence of 19 pathogens using a custom-designed multiplex serology panel and associated factors.

resultsOf the 19 pathogens investigated, the mean number of sero-positive pathogens was 9.4 (SD 1.7), with 24.4% of participants being sero-positive for >10 pathogens. For individual pathogens, the sero-prevalence varied, being for example, 0.05% for HIV, 6.4% for human papillomavirus (HPV)-16, 53.5% for

conclusionsAmong Chinese adults, previous and current infections with certain pathogens were common and varied by area, sex and birth cohort. These infections may contribute to the burden of certain cancers and other non-communicable chronic diseases.

Indexed as

Communicable DiseasesEpstein-Barr Virus InfectionsHelicobacter pyloriAdultAgedCross-Sectional StudiesFemaleHepatitis B virusHerpesvirus 4, HumanHumansMaleMiddle AgedPrevalenceRisk Factorsepidemiologyinfectious diseasespublic health

Identifiers

PMID35534062
PMCPMC9086621
OpenAlexW4280621086

What OpenQuestion holds

Textmetadata
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.