Evidence map›Paper›PMID 36969940›Full record

ArticleInfection and drug resistance2023

Successful Treatment of Rare Pulmonary

Uet Yu, Ke Cao, Chunlan Yang, Chunjing Wang, Yue Li, Xiaohui Zhou, Qian Zhang, Yuanxiang Wang, Feiqiu Wen, Sixi Liu and 1 more

Open access · goldAbstract readCase Reports
In one paragraph

Article in Infection and drug resistance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Pulmonary Infection Due toOpen forum infectious diseases · 2025
    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

11 authors at 1 institution in 1 country.

Uet YuDepartment of Hematology and Oncology, Shenzhen Children's Hospital, Shenzhen, People's Republic of China.ORCID 0000-0003-4391-3398
Ke CaoDepartment of Laboratory Medicine, Shenzhen Children's Hospital, Shenzhen, People's Republic of China.
Chunlan YangDepartment of Hematology and Oncology, Shenzhen Children's Hospital, Shenzhen, People's Republic of China.
Chunjing WangDepartment of Hematology and Oncology, Shenzhen Children's Hospital, Shenzhen, People's Republic of China.
Yue LiDepartment of Hematology and Oncology, Shenzhen Children's Hospital, Shenzhen, People's Republic of China.
Xiaohui ZhouDepartment of Hematology and Oncology, Shenzhen Children's Hospital, Shenzhen, People's Republic of China.
Qian ZhangDepartment of Hematology and Oncology, Shenzhen Children's Hospital, Shenzhen, People's Republic of China.
Yuanxiang WangDepartment of Cardiothoracic Surgery, Shenzhen Children's Hospital, Shenzhen, People's Republic of China.
Feiqiu WenDepartment of Hematology and Oncology, Shenzhen Children's Hospital, Shenzhen, People's Republic of China.
Sixi LiuDepartment of Hematology and Oncology, Shenzhen Children's Hospital, Shenzhen, People's Republic of China.
Xiaodong WangDepartment of Hematology and Oncology, Shenzhen Children's Hospital, Shenzhen, People's Republic of China.
Shenzhen Children's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasive fungal infections (IFIs) are among the most severe complications in recipients of hematopoietic stem cell transplantation (HSCT) recipients and in patients with hematological malignancies. An increasing number of uncommon fungal infections have been reported in this era of antifungal prophylaxis.

Indexed as

case reportCoprinopsis cinereahematopoietic stem cell transplantationHormographiella aspergillatainvasive fungal infectionleukemia

Identifiers

PMID36969940
PMCPMC10032218
OpenAlexW4327750054

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.