Evidence map›Paper›PMID 32041540›Full record

ArticleBMC infectious diseases2020

Epidemiological and clinical characteristics of healthcare-associated infection in elderly patients in a large Chinese tertiary hospital: a 3-year surveillance study.

Xia Zhao, Lihong Wang, Nan Wei, Jingli Zhang, Wenhui Ma, Huijie Zhao, Xu Han

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Incidence of Urinary Tract Infection Among Patients: Systematic Review and Meta-Analysis.Inquiry : a journal of medical care organization, provision and financing
    Pooled it
  2. Trial
  3. Attributable mortality to healthcare-associated infections: a comprehensive nationwide assessment in Spain, 2022 and 2023.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2026
    Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Review
  9. Oral Microbiome Changes During Hospitalization in Older Adults Not Receiving Mechanical Ventilation.American journal of critical care : an official publication, American Association of Critical-Care Nurses · 2025
    Observational
  10. Observational
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Antimicrobial Properties of Plant Fibers.Molecules (Basel, Switzerland) · 2022
    Review
  17. Article
  18. Observational
  19. Gut Microbial Alterations in Diarrheal Baer's Pochards (Frontiers in veterinary science · 2021
    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

7 authors at 1 institution in 1 country.

Xia ZhaoHospital Infection Management Division, Xuanwu Hospital, Capital Medical University, No.45 Changchun Street, Xicheng District, Beijing, 100053, China.
Lihong WangHospital Infection Management Division, Xuanwu Hospital, Capital Medical University, No.45 Changchun Street, Xicheng District, Beijing, 100053, China. j_window@163.com.
Nan WeiSchool of Health Management and Education, Capital Medical University, Beijing, China.
Jingli ZhangHospital Infection Management Division, Xuanwu Hospital, Capital Medical University, No.45 Changchun Street, Xicheng District, Beijing, 100053, China.
Wenhui MaHospital Infection Management Division, Xuanwu Hospital, Capital Medical University, No.45 Changchun Street, Xicheng District, Beijing, 100053, China.
Huijie ZhaoHospital Infection Management Division, Xuanwu Hospital, Capital Medical University, No.45 Changchun Street, Xicheng District, Beijing, 100053, China.
Xu HanHospital Infection Management Division, Xuanwu Hospital, Capital Medical University, No.45 Changchun Street, Xicheng District, Beijing, 100053, China.
Capital Medical University · CN

Funding

Scientific Research and Cultivation Program Foundation in Beijing China No. PG2019018
6 · The paper itself

Abstract

backgroundWe analyzed the results of a 3-year surveillance study on the epidemiological and clinical characteristics of healthcare associated-infections (HAIs) in elderly inpatients in a large tertiary hospital in China.

methodsReal-time surveillance was performed from January 1, 2015 to December 31, 2017. All HAIs were identified by infection control practitioners and doctors. Inpatient data were collected with an automatic surveillance system.

resultsA total of 134,637 inpatients including 60,332 (44.8%) elderly ≥60 years were included. The overall incidence of HAI was 2.0%. The incidence of HAI in elderly patients was significantly higher than that in non-elderly patients (2.6% vs. 1.5%, χ

conclusionWe observed a significantly higher overall incidence of HAI in elderly inpatients ≥60 compared to non-elderly inpatients < 60 years, but the trend was different for device-associated HAIs, which was attributed to the higher rates of comorbidities and special medical procedures in the elderly group. The main HAI sites in elderly inpatients were the lower respiratory tract, urinary tract, and bloodstream, and the main pathogens were gram-negative bacilli and Candida albicans.

Indexed as

AgedBacteriaCatheter-Related InfectionsChinaCross InfectionFemaleFungiHumansIncidenceMaleMiddle AgedPneumonia, Ventilator-AssociatedRisk FactorsTertiary Care CentersCatheter-associated urinary tract infectionCentral line-associated bloodstream infectionsElderlyHealthcare associated-infectionPathogensVentilator-associated pneumonia

Identifiers

PMID32041540
PMCPMC7011547
OpenAlexW3008449651

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.