Evidence map›Paper›PMID 31587180›Full record

ArticleLa Radiologia medica2020

Clinical features of pulmonary cryptococcosis in thin-section CT in immunocompetent and non-AIDS immunocompromised patients.

Xin Sui, Yao Huang, Wei Song, Fuling Zheng, Xiao Wang, Xiaoli Xu, Zixing Wang, Jinmei Jiang, Zhengyu Jin

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in La Radiologia medica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  8. Clinicopathological Analysis of 60 Cases of Pulmonary Cryptococcosis.International journal of general medicine · 2025
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  15. A Fatal Fungal Infection:Open forum infectious diseases · 2022
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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

9 authors at 2 institutions in 1 country.

Xin SuiDepartment of Radiology, Peking Union Medical College Hospital (East), Chinese Academy of Medical Sciences, Shuaifuyuan Wangfujing Dongcheng District No. 1, Beijing, 100730, China.
Yao HuangDepartment of Radiology, Peking Union Medical College Hospital (East), Chinese Academy of Medical Sciences, Shuaifuyuan Wangfujing Dongcheng District No. 1, Beijing, 100730, China.
Wei SongDepartment of Radiology, Peking Union Medical College Hospital (East), Chinese Academy of Medical Sciences, Shuaifuyuan Wangfujing Dongcheng District No. 1, Beijing, 100730, China. cjr.songwei@vip.163.com.
Fuling ZhengDepartment of Radiology, Peking Union Medical College Hospital (East), Chinese Academy of Medical Sciences, Shuaifuyuan Wangfujing Dongcheng District No. 1, Beijing, 100730, China.
Xiao WangDepartment of Radiology, Peking Union Medical College Hospital (East), Chinese Academy of Medical Sciences, Shuaifuyuan Wangfujing Dongcheng District No. 1, Beijing, 100730, China.
Xiaoli XuDepartment of Radiology, Peking Union Medical College Hospital (East), Chinese Academy of Medical Sciences, Shuaifuyuan Wangfujing Dongcheng District No. 1, Beijing, 100730, China.
Zixing WangDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Science, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, China.
Jinmei JiangDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Science, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, China.
Zhengyu JinDepartment of Radiology, Peking Union Medical College Hospital (East), Chinese Academy of Medical Sciences, Shuaifuyuan Wangfujing Dongcheng District No. 1, Beijing, 100730, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNPeking Union Medical College Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RATIONAL AND

objectivesTo compare thin-section computed tomography (CT) features of pulmonary cryptococcosis (PC) in immunocompetent and non-AIDS immunocompromised patients. MATERIALS AND

methodsWe retrospectively reviewed CT findings of 18 immunocompetent and 24 non-AIDS immunocompromised patients with clinically proven PC. Different patterns of pulmonary abnormalities between the two groups of patients were compared by Fisher's exact test.

resultsPulmonary nodules were present in 37 of the 42 patients. Masses were detected in 16 patients and consolidation in 9. There were 12 patients with a solitary nodule or mass. Masses were associated with nodules in 12 patients. Consolidation was associated with nodules/masses in nine patients. The nodules/masses were associated with cavitations in 13 patients. Margination of nodules/masses was well defined in nine patients and ill-defined in 33. The abnormalities were predominantly distributed in the peripheral region of the lung (n = 29, 69.0%). The presence of cavitations in nodules/masses was significantly more frequent in non-AIDS immunocompromised than in immunocompetent patients (P = 0.001).

conclusionsThe most common thin-section CT feature of PC was pulmonary nodules/masses, which were ill-defined and located peripherally. Cavitations within nodules/masses were more commonly found in non-AIDS immunocompromised patients. PC should be considered in the differential diagnosis of pulmonary nodules/masses.

Indexed as

ImmunocompetenceImmunocompromised HostAdultAgedAged, 80 and overCryptococcosisFemaleHumansLung Diseases, FungalMaleMiddle AgedRetrospective StudiesTomography, X-Ray ComputedComputed tomographyCryptococcosisImmunologyPulmonary

Identifiers

PMID31587180
OpenAlexW2978263920

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.