Evidence map›Paper›PMID 31263730›Full record

ArticleOpen forum infectious diseases2019

Increasing Number and Volume of Cavitary Lesions on Chest Computed Tomography Are Associated With Prolonged Time to Culture Conversion in Pulmonary Tuberculosis.

Alfonso C Hernandez-Romieu, Brent P Little, Adam Bernheim, Marcos C Schechter, Susan M Ray, Destani Bizune, Russell Kempker

Erratum issuedAbstract read
In one paragraph

Article in Open forum infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Future Prospects for Using Clinical Phenotypes in Tuberculosis Precision Medicine-An Approach for Clinical Management.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Journal of medical radiation sciences · 2022
    Article
  12. Prevalence and Drug Resistance Pattern ofPolish journal of microbiology · 2022
    Article
  13. Adjunctive surgery versus medical treatment among patients with cavitary multidrug-resistant tuberculosis.European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery · 2021
    Article
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Alfonso C Hernandez-RomieuDivision of Infectious Disease, School of Medicine, Emory University, Atlanta, Georgia.ORCID 0000-0003-3653-607X
Brent P LittleDivision of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts.
Adam BernheimDepartment of Radiology, School of Medicine, Emory University, Atlanta, Georgia.
Marcos C SchechterDivision of Infectious Disease, School of Medicine, Emory University, Atlanta, Georgia.
Susan M RayDivision of Infectious Disease, School of Medicine, Emory University, Atlanta, Georgia.
Destani BizuneEpidemiology and Statistics Branch, Division of STD Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia.
Russell KempkerDivision of Infectious Disease, School of Medicine, Emory University, Atlanta, Georgia.

Funding

Atlanta Clinical and Translational Science Institute (ACTSI) RenewalUL1TR000454 · NCATS · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2012 to 2016
$25.8M
Intra Cavitary Pharmacokinetics and Drug Resistance in Pulmonary TuberculosisK23AI103044 · NIAID · EMORY UNIVERSITY · PI KEMPKER, RUSSELL RYAN · 2013 to 2017
$910k
A Clinical Pharmacology Study of a Novel Drug Regimen for Pre XDR and XDR TuberculosisR21AI122001 · NIAID · EMORY UNIVERSITY · PI KEMPKER, RUSSELL RYAN · 2016 to 2017
$369k
NCATS NIH HHS UL1 TR000454NIAID NIH HHS K23 AI103044NIAID NIH HHS R21 AI122001
6 · The paper itself

Abstract

backgroundCavitary lesions (CLs) primarily identified by chest x-ray (CXR) have been associated with worse clinical outcomes among patients with pulmonary tuberculosis (PTB). Chest computed tomography (CT), which has better resolution and increased sensitivity to detect lung abnormalities, has been understudied in PTB patients. We compared detection of CLs by CT and CXR and assessed their association with time to sputum culture conversion (tSCC).

methodsThis was a retrospective cohort study of 141 PTB patients who underwent CT. We used multivariate Cox proportional hazards models to evaluate the association between CLs on CXR and the number and single largest volume of CLs on CT with tSCC.

resultsThirty (21%) and 75 (53%) patients had CLs on CXR and CT, respectively. CT detected cavities in an additional 44 patients (31%) compared with CXR. After multivariable adjustment, we observed a negative association between CLs and tSCC, with an adjusted hazard ratio (aHR) of 0.56 (95% confidence interval [CI], 0.32 to 0.97) for single CLs and 0.31 (95% CI, 0.16 to 0.60) for multiple CLs present on CT. Patients with a CL volume ≥25 mL had a prolonged tSCC (aHR, 0.39; 95% CI, 0.21 to 0.72). CLs on CXR were not associated with increased tSCC after multivariable adjustment.

conclusionsCT detected a larger number of cavities in patients with PTB relative to CXR. We observed an association between increasing number and volume of CLs on CT and delayed tSCC independent of sputum microscopy result. Our findings highlight a potential role for CT in the clinical and research setting as a tool to risk-stratify patients with PTB.

Indexed as

cavitary lesionchest computed tomographychest x-raypulmonary tuberculosissputum culture conversion

Identifiers

PMID31263730
PMCPMC6590978

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.