Evidence map›Paper›PMID 26110137›Full record

ArticleNorth American journal of medical sciences2015

Pulmonary Tuberculosis in a Patient with Cystic Fibrosis.

Naveen Patil, Asween Marco, Maria Theresa Montales, Nutan Bhaskar, Penchala Mittadodla, Leonard N Mukasa

Open access · greenAbstract readCase Reports
In one paragraph

Article in North American journal of medical sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Observational
  3. Review
  4. Article
  5. Article
  6. Review
  7. 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

6 authors at 1 institution in 1 country.

Naveen PatilDepartment of Health, Arkansas, United States ; University of Arkansas for Medical Sciences, Arkansas, United States.
Asween MarcoDepartment of Health, Arkansas, United States.
Maria Theresa MontalesUniversity of Arkansas for Medical Sciences, Arkansas, United States.
Nutan BhaskarUniversity of Arkansas for Medical Sciences, Arkansas, United States.
Penchala MittadodlaUniversity of Arkansas for Medical Sciences, Arkansas, United States.
Leonard N MukasaDepartment of Health, Arkansas, United States ; University of Arkansas for Medical Sciences, Arkansas, United States.
University of Arkansas for Medical Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextMycobacterium tuberculosis (MTB) infection is rarely seen in cystic fibrosis (CF) patients. CASE REPORT: We report a 24-year-old CF patient with fever, cough, hemoptysis, and weight loss of 1week duration prior to admission. Past sputum cultures grew methicillin-resistant Staphylococcus aureus and Pseudomonas aeruginosa. The patient was treated with broad spectrum antibiotics based on previous culture data, but failed to improve. Chest radiograph and computed tomography (CT) chest revealed chronic collapse of the anterior subsegment of right upper lobe and multiple bilateral cavitary lesions which were worse compared to prior films. MTB was suspected and was confirmed by positive acid-fast bacilli (AFB) smears and cultures. After receiving first-line antituberculous drugs, the patient's condition markedly improved.

conclusionMTB is an infrequent finding, but considered a potential pathogen in CF patients, and may lead to serious pulmonary complications if there is a delay in diagnosis and treatment.

Indexed as

AFBCystic fibrosisGeneXpert MTB/RIF assayGenotypingMTB

Identifiers

PMID26110137
PMCPMC4462821
OpenAlexW1864803759

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.