Evidence map›Paper›PMID 38818403›Full record

ArticleFrontiers in medicine2024

Clinical, radiological, and laboratory features of HIV-negative pulmonary cryptococcosis with regard to serum lateral flow assay.

Jiejun Shi, Jianhua Chen, Liqing Hu, Qifa Song, Guoqing Qian

Abstract read
In one paragraph

Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Clinical features and chest CT findings ofFrontiers in medicine · 2026
    Article
  2. Clinicopathological Analysis of 60 Cases of Pulmonary Cryptococcosis.International journal of general medicine · 2025
    Article
  3. 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

5 authors.

Jiejun ShiDepartment of Infectious Diseases, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Jianhua ChenDepartment of Radiology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Liqing HuDepartment of Clinical Laboratory, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Qifa SongMedical Data Research Center, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Guoqing QianDepartment of Infectious Diseases, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cryptococcosis is the second most common invasive yeast infection in China. Pulmonary cryptococcosis (PC) is difficult to diagnose due to the lack of specific clinical features and the limitation of diagnostic techniques. Although lateral flow assay was very useful in diagnosing cryptococcal infection, quite a few patients with PC presented negative serum lateral flow assay (sLFA). Methods: We conducted a retrospective study of HIV-negative patients who were diagnosed with PC in our hospital over the past decade to explore the potential relationship between the clinical profiles and sLFA in PC. Results: In total, 112 patients with sLFA tested were enrolled in this study, of which 58.93% were male. The positivity rate of sLFA for PC was 91.07%. The extent of pulmonary lesions was positively correlated with sLFA grade (Spearman Discussion: In conclusion, negative sLFA cannot exclude PC in patients with a solitary nodule in lung. Positive sLFA is more reliable in diagnosing PC in symptomatic patients with diffused lesions in lung who generally experience a more severe systemic inflammatory reaction.

Indexed as

HIV-negativelateral flow assaypulmonary cryptococcosisserum cryptococcal antigensolitary nodule

Identifiers

PMID38818403
PMCPMC11138259

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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.