Evidence map›Paper›PMID 39082010›Full record

ArticleHeliyon2024

Diagnostic accuracy of galactomannan and lateral flow assay in invasive aspergillosis: A diagnostic meta-analysis.

Xiaohong Zhang, Xue Shang, Yinghua Zhang, Xiuxia Li, Kehu Yang, Yan Wang, Kangle Guo

Abstract read
In one paragraph

Article in Heliyon, 2024. 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
–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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. 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

7 authors.

Xiaohong ZhangDepartment of Infection Management, Gansu Provincial Hospital, Lanzhou, China.
Xue ShangSchool of Public Health, Southern University of Science and Technology, China.
Yinghua ZhangDepartment of Infection Management, Gansu Provincial Hospital, Lanzhou, China.
Xiuxia LiHealth Technology Assessment Center, School of Public Health, Lanzhou University, Lanzhou, China.
Kehu YangEvidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Yan WangDepartment of Infection Management, Gansu Provincial Hospital, Lanzhou, China.
Kangle GuoDepartment of Infection Management, Gansu Provincial Hospital, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Efficient diagnosis of patients at high risk for invasive Methods: A meta-analysis using case-control studies was performed to assess the diagnostic performance of LFA alone or galactomannan (GM) combined with LFA (GM-LFA) as screening tests for IA. The sensitivity, specificity, and summary receiver operating characteristic curves were constructed. Results: Nineteen studies with 2838 patients were included. The pooled effect sizes for different indicators included: sensitivity (77 % for LFA and 75 % for GM-LFA), specificity (88 % for LFA and 87 % for GM-LFA), positive likelihood ratio (6.65 for LFA and 12.02 for GM-LFA), negative likelihood ratio (0.26 for LFA and 0.27 for GM-LFA), and the diagnostic odds ratio (25.81 for LFA and 44.87 for GM-LFA). The area under the curve was 0.91 for LFA and 0.94 for GM-LFA with a cut-off value ≥ 0.5. Conclusion: The present meta-analysis suggested that LFA or GM-LFA at an optical density index (ODI) cutoff of ≥0.5 was a useful diagnostic tool for IA in patients. The results showed no significant differences in the accuracy of LFA alone and GM-LFA in diagnosing IA. In the clinical diagnosis and treatment of IA, LFA can be recommended if timely results are needed.

Indexed as

Diagnostic meta-analysisGalactomannanInvasive aspergillosisLateral flow assay

Identifiers

PMID39082010
PMCPMC11284428

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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.