Evidence map›Paper›PMID 41383317›Full record

ArticleFrontiers in public health2025

Measuring the burden of nosocomial infection in cancer patients: an analysis based on propensity score matching in China.

Qingqing Tian, Yi Ding, Jiayang Tang, Anran Liu, Hui Wang, Weiwei Yang

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Qingqing Tian *Infection Management Office, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Yi Ding *Department of Respiratory Medicine, The Second Hospital of Jilin University, Changchun, Jilin, China.
Jiayang TangInfection Management Office, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Anran LiuInfection Management Office, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Hui WangInfection Management Office, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Weiwei YangInfection Management Office, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cancer patients are more susceptible to nosocomial infections due to the suppression of their immune system as a result of factors such as the disease itself and treatment modalities. Nosocomial infections have become an important factor affecting the therapeutic effect, prognosis and quality of life of cancer patients, increasing their suffering and economic burden. This study aims to investigate the impact of hospital-acquired infections on the length of stay and hospitalization costs for cancer patients, providing economic health support for the prevention and control of such infections. Materials and methods: We extracted data on the basic information, infection status, hospitalization costs, and length of stay of inpatients from a large specialized cancer hospital's infection information system and inpatient information, from July 2021 to June 2022. The influencing factors on hospitalization costs and length of stay for cancer patients were determined through literature review. After matching using the propensity score method, we analyzed the impact of hospital-acquired infections on the length of stay and hospitalization costs. Results: During the study period, a total of 407 hospital-acquired infections were reported, with an incidence rate of 0.58%. After propensity score matching and balance testing, compared with the control group, hospital-acquired infections prolonged the length of stay by 7 days ( Conclusions and relevance: Hospital-acquired infections significantly increase the length of stay and hospitalization costs for cancer patients, adding to the economic burden of the disease. The use of a literature review to determine covariates makes this conclusion more scientific.

Indexed as

Cost of IllnessCross InfectionNeoplasmsAdultAgedChinaFemaleHospital CostsHospitalizationHumansLength of StayMaleMiddle AgedPropensity Scorehospital-acquired infectionshospitalization costinfection controllength of hospital staypropensity score matching

Identifiers

PMID41383317
PMCPMC12689532

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.