Evidence map›Paper›PMID 31510929›Full record

SynthesisBMC infectious diseases2019

Pooled analysis of T2 Candida for rapid diagnosis of candidiasis.

Dong-Lan Tang, Xiao Chen, Chang-Guo Zhu, Zhong-Wei Li, Yong Xia, Xu-Guang Guo

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

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

  1. Pooled it
  2. Review
  3. Review
  4. Changing Climate, ChangingJournal of fungi (Basel, Switzerland) · 2025
    Review
  5. Article
  6. Review
  7. Invasive Candidiasis in the Intensive Care Unit: Where Are We Now?Journal of fungi (Basel, Switzerland) · 2025
    Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. An Evaluation of the OLMJournal of fungi (Basel, Switzerland) · 2022
    Article
  18. Observational
  19. Article
  20. Review
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.

Dong-Lan TangDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, Guangdong, China.
Xiao ChenDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, Guangdong, China.
Chang-Guo ZhuDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, Guangdong, China.
Zhong-Wei LiDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, Guangdong, China.
Yong XiaDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, Guangdong, China. gysyxy@gmail.com.
Xu-Guang GuoDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, Guangdong, China. gysygxg@gmail.com.ORCID http://orcid.org/0000-0003-1302-5234

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe present meta-analysis examined the diagnostic accuracy of T2 Candida for candidiasis.

methodsThe literature databases, such as PubMed, Embase, DVIO, Cochrane library, Web of Science, and CNKI, were searched on T2 Candida detection.

resultsA total of 8 articles, comprising of 2717 research subjects, were included in the study. The pooled sensitivity and specificity were 0.91 (95% confidence interval (CI): 0.88-0.94) and 0.94 95% CI: 0.93-0.95), respectively. The pooled positive likelihood ratio and negative likelihood ratio was 10.16 (95% CI: 2.75-37.50) and 0.08 (95% CI: 0.02-0.35), respectively. The combined diagnostic odds ratio is 133.65 95% CI: 17.21-1037.73), and the AUC of SROC is 0.9702 [(SE = 0.0235), Q* = 0.9201(SE = 0.0381)].

conclusionsThe current evidence supported that T2 Candida has high accuracy and sensitivity and is of major clinical significance in the diagnosis of Candida infection.

Indexed as

Area Under CurveCandidaCandidiasisDatabases, FactualHumansOdds RatioROC CurveSensitivity and SpecificityCandida infectionDiagnosisMeta-analysisT2 Candida

Identifiers

PMID31510929
PMCPMC6737707

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.