Evidence map›Paper›PMID 36759770›Full record

ArticleBMC infectious diseases2023

Life-threatening pulmonary coinfection with Mycobacterium tuberculosis and Aspergillus lentulus in a diabetic patient diagnosed by metagenome next-generation sequencing.

Hua Zhang, Guangming Liu, Lin He, Yun Zhu, Haobo Tu, Shifang Zhuang

Abstract readCase Reports
In one paragraph

Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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  7. Recent developments inMicrobiology and molecular biology reviews : MMBR · 2025
    Review
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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.

Hua Zhang *Department of Intensive Care Medicine, Pidu District People's Hospital, Chengdu, China.
Guangming Liu *Department of Intensive Care Medicine, Pidu District People's Hospital, Chengdu, China.
Lin HeGenskey Medical Technology Co., Ltd, Beijing, China.
Yun ZhuGenskey Medical Technology Co., Ltd, Beijing, China.
Haobo TuGenskey Medical Technology Co., Ltd, Beijing, China.
Shifang ZhuangGenskey Medical Technology Co., Ltd, Beijing, China. zsfcmu@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChina has a double burden of diabetes mellitus and tuberculosis. Diabetes mellitus and tuberculosis are both important risk factors for Aspergillus infection. Aspergillus lentulus is an emerging fungal pathogen in China and invasive aspergillosis due to A. lentulus is associated with high mortality. CASE PRESENTATION: A 79-year-old man was admitted to our hospital, complaining of a 7-day history of fever. Five days before admission, he was diagnosed with pulmonary infection at a local hospital, but his symptoms did not relieve after antibiotic therapy. The patient was diagnosed with diabetes mellitus two months ago. About 20 days ago, he began to present chest tightness and shortness of breath after physical activity. After admission, he developed continuous fever and rapid respiratory deterioration, and finally died after his family abandoned treatment. Pulmonary coinfection with M. tuberculosis and A. lentulus was identified by metagenome next-generation sequencing (mNGS) from bronchoalveolar lavage fluid.

conclusionsClinicians and laboratories should be alert to the emerging A. lentulus infection in China due to its drug-resistance and high mortality. In comparison with conventional methods, mNGS has a great advantage for the diagnosis of mixed pulmonary infection.

Indexed as

AspergillosisCoinfectionDiabetes MellitusMycobacterium tuberculosisPneumoniaTuberculosisAgedAspergillusHigh-Throughput Nucleotide SequencingHumansMaleMetagenomeAspergillus lentulusCoinfectionDiabetes mellitusmNGSMycobacterium tuberculosisPneumonia

Identifiers

PMID36759770
PMCPMC9909941

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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.