Evidence map›Paper›PMID 32591896›Full record

ArticleLung2020

Radiologic Characteristics of Non-tuberculous Mycobacteria Infection in Patients with Bronchiectasis.

Iya Eisenberg, Alaa Yasin, Leonardo Fuks, Nili Stein, Walid Saliba, Mordechai R Kramer, Yochai Adir, Michal Shteinberg

Abstract read
PubMed Publisher
In one paragraph

Article in Lung, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. The additional value ofRespiratory research · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

8 authors at 3 institutions in 1 country.

Iya EisenbergDepartment of Diagnostic Radiology, Carmel Medical Center, Haifa, Israel.
Alaa YasinB. Rappaport Faculty of Medicine, Technion- Israel Institute of Technology, Haifa, Israel.
Leonardo FuksFaculty of Medicine, Rokach Lung Institute, Hebrew University of Jerusalem, Jerusalem, Israel.
Nili SteinDepartment of Community Medicine and Epidemiology, Carmel Medical Center, Haifa, Israel.
Walid SalibaB. Rappaport Faculty of Medicine, Technion- Israel Institute of Technology, Haifa, Israel.
Mordechai R KramerPulmonology Institute, Rabin Medical Center, Petach Tiqva, Israel.
Yochai AdirB. Rappaport Faculty of Medicine, Technion- Israel Institute of Technology, Haifa, Israel.
Michal ShteinbergB. Rappaport Faculty of Medicine, Technion- Israel Institute of Technology, Haifa, Israel. michalsh@technion.ac.il.ORCID 0000-0002-0432-3398
Technion – Israel Institute of Technology · ILCarmel Medical Center · ILTel Aviv University · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNon-tuberculous mycobacteria pulmonary disease (NTM-pd) commonly complicates bronchiectasis. However, clinical and radiological features of NTM-pd and bronchiectasis are very similar. We aimed to develop a radiologic prediction tool for bronchiectasis to identify NTM-pd.

methodsWe reviewed clinical, laboratory and radiological data in patients with bronchiectasis. Radiologic features on CT scans and the individual components of the Bhalla scoring system were compared between people with and without NTM-pd. Logistic regression and receiver-operating curve (ROC) analysis were performed to predict NTM-pd.

resultsPeople with NTM-pd had more pulmonary segments with bronchiectasis (13 ± 5 vs. 11 ± 5, p = 0.03), presence of mucus plugging (47% vs. 19%, p < 0.0001) and tree in bud infiltrates (53% vs. 28%, p = 0.004). The total modified- Bhalla score was worse among people with NTM-pd (median [IQR] 11[9,13] vs. 9[8,12], p = 0.03). Logistic regression identified the number of pulmonary segments involved, presence of bullae, consolidations, and a total score of 10 or more to be independently associated with presence of NTM-pd. ROC analysis with radiographic variables only identified an AUC of 0.706 (95% CI 0.644-0.762). When people with chronic Pseudomonas infection were excluded from the ROC analysis, prediction for NTM was improved: AUC = 0.87 (95% CI 0.796-0.945). DISCUSSION AND

conclusionsRadiological features together with advanced age and female gender may predict NTM-pd among people with bronchiectasis. Infection with Pseudomonas aeruginosa may resemble NTM radiographically, and this prediction rule may better differentiate people with and without NTM-pd when Pseudomonas infection is not present.

Indexed as

AgedAged, 80 and overAge FactorsBronchiectasisFemaleHumansLogistic ModelsLungMaleMiddle AgedMycobacterium Infections, NontuberculousPseudomonas InfectionsROC CurveSex FactorsTomography, X-Ray ComputedTuberculosis, PulmonaryBronchiectasisNon-tuberculous mycobacteriaRadiology

Identifiers

PMID32591896
OpenAlexW3037559661

What OpenQuestion holds

Textmetadata
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.