Evidence map›Paper›PMID 36687581›Full record

ArticleFrontiers in microbiology2022

Detection of

Min Xie, Jin Shao, Zhe Wan, Ting Yan, Sainan Zhu, Shuangling Li, Jin Yu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Observational
  4. Review on the management of intra-abdominal candidiasis.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2025
    Review
  5. Review
  6. 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 3 institutions in 1 country.

Min XieDepartment of Critical Care Medicine, Peking University First Hospital, Peking University, Beijing, China.
Jin ShaoDepartment of Dermatology and Venerology, Peking University First Hospital, Beijing, China.
Zhe WanDepartment of Dermatology and Venerology, Peking University First Hospital, Beijing, China.
Ting YanDepartment of Critical Care Medicine, Peking University First Hospital, Peking University, Beijing, China.
Sainan ZhuDepartment of Biostatistics, Peking University First Hospital, Peking University, Beijing, China.
Shuangling LiDepartment of Critical Care Medicine, Peking University First Hospital, Peking University, Beijing, China.
Jin YuDepartment of Dermatology and Venerology, Peking University First Hospital, Beijing, China.
Peking University · CNNational Clinical Research Center for Digestive Diseases · CNPeking University First Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Intra-abdominal candidiasis (IAC) is the predominant type of invasive candidiasis with high mortality in critically ill patients. This study aimed to investigate whether the polymerase chain reaction (PCR) assay for detecting Methods: A prospective single-center cohort study of surgical patients at high risk for IAC was conducted in the ICU. PF was collected from the abdominal drainage tubes (within 24 h) or by percutaneous puncture. Direct PF smear microscopy, PF culture, blood culture, and serum (1-3)-β-D-glucan were performed in all patients. For Results: Among 83 patients at high risk for IAC, the IAC criteria were present in 17 (20.5%). The sensitivity and specificity of the Conclusion: Detection of

Indexed as

Candida spp.intensive care unitintra-abdominal candidiasisPCR assayperitoneal fluid

Identifiers

PMID36687581
PMCPMC9849671
OpenAlexW4313511635

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.