Evidence map›Paper›PMID 24278155›Full record

ArticlePloS one2013

Rapid molecular testing for TB to guide respiratory isolation in the U.S.: a cost-benefit analysis.

Alexander J Millman, David W Dowdy, Cecily R Miller, Robert Brownell, John Z Metcalfe, Adithya Cattamanchi, J Lucian Davis

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Clinical Impact and Cost-effectiveness of Xpert MTB/RIF Testing in Hospitalized Patients With Presumptive Pulmonary Tuberculosis in the United States.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2017
    Article
  11. Review
  12. Review
  13. Evaluation of the Cepheid Xpert MTB/RIF assay.Expert review of molecular diagnostics · 2015
    Review
  14. Impact of GeneXpert MTB/RIF assay on triage of respiratory isolation rooms for inpatients with presumed tuberculosis: a hypothetical trial.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2014
    Article
  15. Article
  16. Review
  17. Article
  18. How we can utilize the Xpert MTB/RIF assay to decide on airborne infection isolation of inpatients with tuberculosis suspicion in Brazil: a brief review of the current data.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    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

7 authors.

Alexander J MillmanDepartment of Medicine, San Francisco General Hospital, University of California San Francisco, San Francisco, California, United States of America ; PRIME Residency Program, University of California San Francisco, San Francisco, California, United States of America.
David W Dowdy
Cecily R Miller
Robert Brownell
John Z Metcalfe
Adithya Cattamanchi
J Lucian Davis

Funding

CTSA: K12 COMPONENTKL2RR024130 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$19.3M
Immunodiagnosis of Active Tuberculosis in HIV-infected PatientsK23HL094141 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CATTAMANCHI, ADITHYA · 2009 to 2013
$760k
Oral Wash for Nucleic Acid Diagnosis and Prognosis of TB in HIV-Infected UgandansK23AI080147 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DAVIS, JOHN LUCIAN · 2008 to 2012
$711k
Improving Early Identification of Drug Resistant Tuberculosis in HIV Prevalent SeK23AI094251 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI METCALFE, JOHN ZAPATA · 2011 to 2015
$625k
NCRR NIH HHS KL2 RR024130NHLBI NIH HHS K23 HL094141NIAID NIH HHS K23 AI080147NIAID NIH HHS K23 AI094251
6 · The paper itself

Abstract

backgroundRespiratory isolation of inpatients during evaluation for TB is a slow and costly process in low-burden settings. Xpert MTB/RIF (Xpert) is a novel molecular test for tuberculosis (TB) that is faster and more sensitive but substantially more expensive than smear microscopy. No previous studies have examined the costs of molecular testing as a replacement for smear microscopy in this setting.

methodsWe conducted an incremental cost-benefit analysis comparing the use of a single negative Xpert versus two negative sputum smears to release consecutive adult inpatients with presumed TB from respiratory isolation at an urban public hospital in the United States. We estimated all health-system costs and patient outcomes related to Xpert implementation, diagnostic evaluation, isolation, hospitalization, and treatment. We performed sensitivity and probabilistic uncertainty analyses to determine at what threshold the Xpert strategy would become cost-saving.

resultsAmong a hypothetical cohort of 234 individuals undergoing evaluation for presumed active TB annually, 6.4% had culture-positive TB. Compared to smear microscopy, Xpert reduced isolation bed utilization from an average of 2.7 to 1.4 days per patient, leading to a 48% reduction in total annual isolation bed usage from 632 to 328 bed-days. Xpert saved an average of $2,278 (95% uncertainty range $1582-4570) per admission, or $533,520 per year, compared with smear microscopy.

conclusionsMolecular testing for TB could provide substantial savings to hospitals in high-income countries by reducing respiratory isolation usage and overall length of stay.

Indexed as

Cost-Benefit AnalysisHumansMycobacterium tuberculosisPhylogenyTuberculosis, PulmonaryUnited States

Identifiers

PMID24278155
PMCPMC3835836

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.