Evidence map›Paper›PMID 34682263›Full record

ArticleJournal of fungi (Basel, Switzerland)2021

Chronic Pulmonary Aspergillosis: Disease Severity Using Image Analysis and Correlation with Systemic Proinflammation and Predictors of Clinical Outcome.

Shiang-Fen Huang, Chia-Chang Huang, Kun-Ta Chou, Yu-Jiun Chan, Ying-Ying Yang, Fu-Der Wang

Open access · goldAbstract read
In one paragraph

Article in Journal of fungi (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 30% of its field
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

7 citing papers in PubMed, 12 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Shiang-Fen HuangDivision of Infectious Disease, Department of Medicine, Taipei Veterans General Hospital, Taipei 112201, Taiwan.ORCID 0000-0003-0390-9108
Chia-Chang HuangDivision of Endocrinology and Metabolism, Department of Medicine, Veterans General Hospital, Taipei 112201, Taiwan.ORCID 0000-0002-1313-4628
Kun-Ta ChouSchool of Medicine, National Yang-Ming Chiao-Tung University, Taipei 112304, Taiwan.ORCID 0000-0002-4822-5474
Yu-Jiun ChanDivision of Microbiology, Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei 112201, Taiwan.
Ying-Ying YangDivision of Clinical Skills Training, Department of Medical Education, Taipei Veterans General Hospital, Taipei 112201, Taiwan.ORCID 0000-0002-7719-0397
Fu-Der WangDivision of Infectious Disease, Department of Medicine, Taipei Veterans General Hospital, Taipei 112201, Taiwan.
National Yang Ming Chiao Tung University · TWTaipei Veterans General Hospital · TW

Funding

Ministry of Science and Technology in Taiwan MOST 108-2635-B-075-002, MOST 109-2314-B-075-086-MY2Taipei Veterans General Hospital 109DHA0100248
6 · The paper itself

Abstract

(1) Background: The presentation of chronic pulmonary aspergillosis (CPA) ranges from single granuloma to fibrosis in the affected lung. CPA can be divided into five categories according to European Respirology Society (ERS) guidance but is usually assessed by clinical physicians. Computer-based quantitative lung parenchyma analysis in CPA and its correlation with clinical manifestations, systemic inflammation, and angiogenesis have never been investigated. (2) Method: Forty-nine patients with CPA and 36 controls were prospectively enrolled. Pulmonary function tests (forced vital capacity (FVC), forced expiratory volume in one second (FEV

Indexed as

chronic pulmonary aspergillosisinflammationparenchyma analysis

Identifiers

PMID34682263
PMCPMC8537715
OpenAlexW3204016864

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.