Evidence map›Paper›PMID 41078939›Full record

ReviewArchives of medical science : AMS2025

The incidence of catheter-related bloodstream infections in different central venous access devices: a network meta-analysis of randomized controlled trials.

Jinjuan Li, Yunrui Jin, Yinchun Liu, Mei Ju

Abstract readReview
In one paragraph

Review in Archives of medical science : AMS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Observational
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

4 authors.

Jinjuan LiDepartment of Nursing,The Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan province, China.
Yunrui JinDepartment of Rehabilitation, Chongqing Orthopedic Hospital of Traditional Chinese Medicine, Chongqing, China.
Yinchun LiuDepartment of Osteoarthropathy, Chongqing Orthopedic Hospital of Traditional Chinese Medicine, Chongqing, China.
Mei JuDepartment of Nursing,The Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Direct paired meta-analyses and network meta-analysis were conducted to compare the incidence of catheter-associated bloodstream infections (CRBSIs) in different types of central venous access devices (CVADs). Material and methods: The PubMed, EMBASE, Web of Science, Cochrane, CNKI and CBM databases were systematically searched from inception to May 31, 2024 for randomized controlled trials (RCTs) comparing the incidence of CRBSIs across various types of CVADs. Literature screening, data extraction, and risk bias evaluation were all independently conducted by two individuals. Direct paired meta-analyses and network meta-analysis were performed using RevMan 5.3 and Stata 14.0 software, respectively. Results: A total of five studies were included. Paired meta-analyses revealed that the incidence of CRBSIs was lower in the peripherally inserted central catheter (PICC) group compared to the central venous catheter (CVC) group (RR = 0.23, 95% CI (0.13-0.43), Conclusions: The available evidence suggests that PICCs exhibit the lowest incidence of CVADs, followed by TIVAPs. Therefore, PICCs should be prioritized when selecting CVADs.

Indexed as

catheter-related bloodstream infectionscentral venous access devicescentral venous cathetersnetwork meta-analysisperipherally inserted central venous catheterstotally implantable venous access ports

Identifiers

PMID41078939
PMCPMC12509862

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.