Evidence map›Paper›PMID 36970012›Full record

ArticleWorld journal of clinical cases2023

False positive detection of serum cryptococcal antigens due to insufficient sample dilution: A case series.

Wen-Yu Chen, Cheng Zhong, Jian-Ying Zhou, Hua Zhou

Abstract readCase Reports
In one paragraph

Article in World journal of clinical cases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. False-Positive IMMYJournal of fungi (Basel, Switzerland) · 2026
    Article
  3. Article
  4. 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

4 authors.

Wen-Yu ChenDepartment of Respiratory, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 314000, Zhejiang Province, China.
Cheng ZhongDepartment of Respiratory, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 314000, Zhejiang Province, China.
Jian-Ying ZhouDepartment of Respiratory, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 314000, Zhejiang Province, China.
Hua ZhouDepartment of Respiratory, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 314000, Zhejiang Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At present, with the development of technology, the detection of cryptococcal antigen (CRAG) plays an increasingly important role in the diagnosis of cryptococcosis. However, the three major CRAG detection technologies, latex agglutination test (LA), lateral flow assay (LFA) and Enzyme-linked Immunosorbent Assay, have certain limitations. Although these techniques do not often lead to false-positive results, once this result occurs in a particular group of patients (such as human immunodeficiency virus patients), it might lead to severe consequences. CASE SUMMARY: In the three cases we reported, we found that insufficient dilution of the samples may lead to false-positive results in the detection of cryptococcal capsule antigen, which has never been reported before.

conclusionTherefore, once the test results are inconsistent with the clinical symptoms, it is necessary to reexamine the samples carefully. Especially for LFA and LA, the samples can be fully diluted or segmented diluted to avoid false-positive results. It is certain that in the diagnosis, fluid and tissue culture should also be improved, combined with imaging, ink staining, and other methods to improve the accuracy of the diagnosis further.

Indexed as

Capsular antigen detectionCase reportCryptococcosisFalse positiveTissue

Identifiers

PMID36970012
PMCPMC10037290

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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.