Evidence map›Paper›PMID 40496754›Full record

ArticleIDCases2025

Fungal pneumonia mimicking lung cancer.

Chengtao Feng, Zhihong Zhao, Sheng Zhao, Zhiyong Deng, Long Chen

Abstract readCase Reports
In one paragraph

Article in IDCases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Chengtao FengDepartment of Nuclear Medicine, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Peking University Cancer Hospital Yunnan, People's Republic of China.
Zhihong ZhaoDepartment of Information, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Peking University Cancer Hospital Yunnan, People's Republic of China.
Sheng ZhaoDepartment of Nuclear Medicine, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Peking University Cancer Hospital Yunnan, People's Republic of China.
Zhiyong DengDepartment of Nuclear Medicine, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Peking University Cancer Hospital Yunnan, People's Republic of China.
Long ChenDepartment of Nuclear Medicine, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Peking University Cancer Hospital Yunnan, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 55-year-old woman with uncontrolled diabetes presented with a persistent cough and low-grade fever for one month. Initial investigations revealed leukocytosis, elevated CRP, and a 6.1 cm × 5.8 cm mass in the left lung with features suggestive of malignancy on CT and PET/CT scans. However, bronchoscopy and histopathology confirmed a pulmonary fungal infection. The patient was treated with antifungal therapy, showing a favorable response with resolution of symptoms and reduction of the mass size. This case highlights the diagnostic challenges in distinguishing pulmonary fungal infections from malignancies, especially in immunocompromised patients with diabetes. The presence of diabetes contributed to the patient's susceptibility to fungal infections, which mimicked lung cancer on imaging. The importance of maintaining a broad differential diagnosis, including fungal infections, in patients with risk factors and atypical imaging findings is emphasized. Early suspicion and appropriate antifungal therapy are crucial to avoid misdiagnosis and improve outcomes.

Indexed as

18F-FDG PET/CTFungal pneumoniaLung cancer

Identifiers

PMID40496754
PMCPMC12151242

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.