Evidence map›Paper›PMID 36560943›Full record

ArticleFrontiers in microbiology2022

Comparison of

Chien-Wen Hsiao, Tsai-Hung Yen, Yen-Ching Wu, Jun-Peng Chen, Yun-Yu Chen, Wen-Nan Huang, Yi-Hsing Chen, Yi-Ming Chen

Abstract 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 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Journal of clinical microbiology · 2026
    Article
  3. Review
  4. Diagnostic performance ofJournal of thoracic disease · 2025
    Article
  5. Article
  6. The diagnostic value of combinedFrontiers in medicine · 2025
    Article
  7. Article
  8. Article
  9. Chronic respiratory disease
    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

8 authors.

Chien-Wen HsiaoDivision of Allergy, Immunology and Rheumatology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
Tsai-Hung YenDivision of Allergy, Immunology and Rheumatology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
Yen-Ching WuDivision of Allergy, Immunology and Rheumatology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
Jun-Peng ChenDepartment of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan.
Yun-Yu ChenDepartment of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan.
Wen-Nan HuangDivision of Allergy, Immunology and Rheumatology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
Yi-Hsing ChenDivision of Allergy, Immunology and Rheumatology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
Yi-Ming ChenDivision of Allergy, Immunology and Rheumatology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: We analyzed enrolled 118 healthy controls, 29 patients with invasive aspergillosis (IA), chronic pulmonary aspergillosis (CPA), and allergic bronchopulmonary aspergillosis (ABPA) and 99 with disease control, who were tested for Results: We found that patients with CPA had the highest Conclusion: We identified the optimal cut-offs of

Indexed as

allergic bronchopulmonary aspergillosisAspergillusAspergillus antibodyAspergillus fumigatusAspergillus nigerchronic pulmonary aspergillosisImmunoCAPinvasive aspergillosis

Identifiers

PMID36560943
PMCPMC9763268

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.