Evidence map›Paper›PMID 41782850›Full record

ArticleInfection and drug resistance2026

Feng Li, Xingbing Lu, Hongmei Luo

Abstract readCase Reports
In one paragraph

Article in Infection and drug resistance, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Feng LiHealth Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Xingbing LuDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Hongmei LuoDepartment of Ophthalmology, West China Hospital, Sichuan University, Chengdu, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Case Presentation: A HIV-positive patient subsequently developed TM pulmonary infection. Clinical symptoms and laboratory test results were non-specific. Imaging studies revealed pulmonary masses, and the patient was misdiagnosed with lung cancer outside the hospital, leading to an erroneous surgical resection. The patient did not improve postoperatively but instead developed high fever and persistent cough, with symptoms worsening. During treatment at our hospital, the patient was definitively diagnosed with TM lung infection, not lung cancer. Due to the rarity of TM infection and lack of experience, treatment was delayed, leading to worsening of the patient's condition. The patient exhibited gastrointestinal bleeding, progressive neurological dysfunction, hydrocephalus, and multi-organ dysfunction, which ultimately resulted in the death of the patient. Conclusion: TM infections often present with insidious onset, prolonged course, and lack of specific clinical symptoms, imaging findings, or laboratory test characteristics, making diagnosis challenging and frequently leading to misdiagnosis or missed diagnosis, resulting in high mortality rates. Therefore, clinicians should enhance their diagnostic and treatment experience regarding TM infections in HIV-positive individuals or populations in non-endemic regions, initiate pathogen culture and histopathological diagnosis as early as possible, and integrate the results of mNGS and mass spectrometry analysis to improve the detection rate and early diagnosis rate of TM infections. This will ensure that patients can receive timely and accurate treatment, which is crucial for improving their prognosis.

Indexed as

diagnosisHIV-positive patientinfectionTalaromyces marneffeitreatment

Identifiers

PMID41782850
PMCPMC12955595

What OpenQuestion holds

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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.