Evidence map›Paper›PMID 26550481›Full record

ArticleNew microbes and new infections2015

Diffuse interstitial and multiple cavitary lung lesions due to Talaromyces marneffei infection in a non-HIV patient.

H R Li, N L Xu, M Lin, X L Hu, J H Chen, Y S Chen, S X Cai

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in New microbes and new infections, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  6. Review
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

7 authors at 3 institutions in 1 country.

H R LiThe Department of Respiratory and Critical Care Medicine, Nanfang Hospital of Southern Medical University, Guangzhou City, China ; The Department of Respiratory Medicine, Fujian Provincial Medical College, Fujian Medical University, Fujian Provincial Hospital, Fuzhou City, China.
N L XuThe Department of Respiratory Medicine, Fujian Provincial Medical College, Fujian Medical University, Fujian Provincial Hospital, Fuzhou City, China.
M LinThe Department of Respiratory Medicine, Fujian Provincial Medical College, Fujian Medical University, Fujian Provincial Hospital, Fuzhou City, China.
X L HuThe Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou City, China.
J H ChenThe Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou City, China.
Y S ChenThe Department of Respiratory Medicine, Fujian Provincial Medical College, Fujian Medical University, Fujian Provincial Hospital, Fuzhou City, China.
S X CaiThe Department of Respiratory and Critical Care Medicine, Nanfang Hospital of Southern Medical University, Guangzhou City, China.
Fujian Provincial Hospital · CNFujian Medical University · CNNanfang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 57-year-old man presented with unproductive cough and dyspnea for 6 months in Fujian Province, China. His misuse of a large amount of steroids (accumulated dose equivalent to 3530 mg prednisolone) resulted in Talaromyces marneffei infection. Chest computed tomographic scan revealed diffuse interstitial and multiple cavitary lung lesions. Treatment with amphotericin B combined with itraconazole resulted in total recovery, with marked regression of lung lesions.

Indexed as

Diffuse interstitial lung lesionsmultiple cavitary lung lesionsnon-HIV patientpulmonary fungi infectionTalaromyces marneffei

Identifiers

PMID26550481
PMCPMC4596917
OpenAlexW1477759488

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.