Evidence map›Paper›PMID 30056458›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2018

Efficacy of Caspofungin in Unclassified Invasive Fungal Infection Cases: A Retrospective Analysis of Patients with Hematological Malignancies in China.

Xiaohui Zhang, Jiong Hu, Yu Hu, He Huang, Jie Jin, Juan Li, Qifa Liu, Zonghong Shao, Jianxiang Wang, Quanshun Wang and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2018. 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
–field-weighted citation impact, top 93% 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, 2 citations in OpenAlex.

  1. Article
  2. 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

12 authors at 10 institutions in 1 country.

Xiaohui ZhangDepartment of Hematology, Peking University People's Hospital, Beijing, China (mainland).
Jiong HuDepartment of Hematology, Ruijin Hospital Shanghai Jiao Tong University School of Medicine, Shanghai, China (mainland).
Yu HuDepartment of Hematology, Union Hospital Tongji Medical College Huazhong University of Science and Technology, Wuhan, Hubei, China (mainland).
He HuangDepartment of Hematology, First Affiliated Hospital of Zhejiang University, Hangzhou, Zhejiang, China (mainland).
Jie JinDepartment of Hematology, First Affiliated Hospital of Zhejiang University, Hangzhou, Zhejiang, China (mainland).
Juan LiDepartment of Hematology, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (mainland).
Qifa LiuDepartment of Hematology, Nanfang Hospital, Guangzhou, Guangzhou, China (mainland).
Zonghong ShaoDepartment of Hematology, Tianjin Medical University General Hospital, Tianjin, China (mainland).
Jianxiang WangDepartment of Hematology, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China (mainland).
Quanshun WangDepartment of Hematology, Chinese PLA General Hospital, Beijing, China (mainland).
Depei WuDepartment of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China (mainland).
Xiaojun HuangDepartment of Hematology, Peking University People's Hospital, Beijing, China (mainland).
First Affiliated Hospital Zhejiang University · CNPeking University People's Hospital · CNChinese PLA General Hospital · CNInstitute of Hematology & Blood Diseases Hospital · CNNanfang Hospital · CNRuijin Hospital · CNSoochow University · CNSun Yat-sen University · CNTianjin Medical University General Hospital · CNWuhan Union Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND The management of invasive fungal infection (IFI) is challenging in immunocompromised patients who do not fully satisfy the EORTC/MSG diagnostic criteria of proven or probable IFI. Our study assessed caspofungin efficacy in 582 Chinese patients with hematological malignancies exhibiting unclassified signs or symptoms of IFI. MATERIAL AND METHODS This retrospective study included caspofungin treatment outcomes of an unclassified group A (n=401) of patients without microbiological or biomarker results and group B (n=181) patients with positive microbiological or biomarker results. Factors that correlated with clinical outcomes were determined using univariate and multivariate analyses. RESULTS Cough (41.8%), expectoration (29.6%), and chest tightness (14.6%) were the most common clinical features, and changes in CT images (88.1%) were more frequently detected than in X-ray images (19.6%) in all patients. Favorable response rates for caspofungin as first-line treatment were 58.2% for group A and 56.3% for group B. Eastern Cooperative Oncology Group (ECOG) score, cardiovascular disease, hemoptysis, and absolute neutrophil count (ANC) <1000/mm³ before antifungal treatment without recovery were associated with unfavorable clinical outcome (P<0.05 for all). Cough and ANC recovery >1000/mm3 were significantly associated with favorable (complete or partial resolution) outcome. CONCLUSIONS Caspofungin was effective for treating unclassified IFIs of immunocompromised patients. Cardiovascular disease, ECOG score, cough, and/or hemoptysis, as well as ANC count, represent a potential index for estimating response of unclassified IFI patients to caspofungin treatments.

Indexed as

AdultAgedAntifungal AgentsAspergillosisCaspofunginChinaEchinocandinsFemaleHematologic NeoplasmsHumansInvasive Fungal InfectionsLipopeptidesMaleMiddle AgedMycosesRetrospective StudiesAntifungal AgentsCaspofunginEchinocandinsLipopeptides

Identifiers

PMID30056458
PMCPMC6080585
OpenAlexW2883309113

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.