Evidence map›Paper›PMID 38872849›Full record

ArticleOpen forum infectious diseases2024

Second Time's the Charm? Assessing the Sensitivity and Yield of Inpatient Diagnostic Algorithms for Pulmonary Tuberculosis in a Low-Prevalence Setting.

Caitlin M Dugdale, Kimon C Zachary, Dustin S McEvoy, John A Branda, Amy Courtney, Rebecca Craig, Alexandra Doms, Lindsay Germaine, Chloe V Green, Eren Gulbas and 8 more

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

18 authors.

Caitlin M DugdaleMedical Practice Evaluation Center, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-6604-6111
Kimon C ZacharyDivision of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Dustin S McEvoyClinical Informatics, Mass General Brigham, Boston, Massachusetts, USA.
John A BrandaHarvard Medical School, Boston, Massachusetts, USA.
Amy CourtneyInfection Control, Massachusetts General Hospital and Mass General Brigham, Boston, Massachusetts, USA.
Rebecca CraigInfection Control, Massachusetts General Hospital and Mass General Brigham, Boston, Massachusetts, USA.
Alexandra DomsDepartment of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Lindsay GermaineClinical Informatics, Mass General Brigham, Boston, Massachusetts, USA.
Chloe V GreenInfection Control, Massachusetts General Hospital and Mass General Brigham, Boston, Massachusetts, USA.
Eren GulbasMedical Practice Evaluation Center, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
David C HooperDivision of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Rocio M HurtadoDivision of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0003-2438-1453
Emily P HyleMedical Practice Evaluation Center, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0001-8721-106X
Michelle S JerryInfection Control, Massachusetts General Hospital and Mass General Brigham, Boston, Massachusetts, USA.
Jacob E LazarusDivision of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0001-9286-3548
Molly ParasDivision of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Sarah E TurbettDivision of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-3603-8110
Erica S ShenoyDivision of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.

Funding

Modeling the Effects of HIV, Chlamydia, and Gonorrhea in Mother-Infant Pairs in Botswana.K08HD101342 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI DUGDALE, CAITLIN · 2020 to 2024
$897k
NICHD NIH HHS K08 HD101342
6 · The paper itself

Abstract

Background: For persons with suspected pulmonary tuberculosis, the guidelines of the Centers for Disease Control and Prevention recommend collecting 3 respiratory specimens 8 to 24 hours apart for acid-fast bacilli (AFB) smear and culture, in addition to 1 nucleic acid amplification test (NAAT). However, data supporting this approach are limited. Our objective was to estimate the performance of 1, 2, or 3 AFB smears with or without NAATs to detect pulmonary tuberculosis in a low-prevalence setting. Methods: We conducted a retrospective study of hospitalized persons at 8 Massachusetts acute care facilities who underwent mycobacterial culture on 1 or more respiratory specimens between July 2016 and December 2022. We evaluated percentage positivity and yield on serial AFB smears and NAATs among people with growth of Results: Among 104 participants with culture-confirmed pulmonary tuberculosis, the first AFB smear was positive in 41 cases (39%). A second AFB smear was positive in 11 (22%) of the 49 cases in which it was performed. No third AFB smears were positive following 2 initial negative smears. Of 52 smear-negative cases, 36 had a NAAT performed, leading to 23 additional diagnoses. Overall sensitivity to detect tuberculosis prior to culture positivity was higher in any strategy involving 1 or 2 NAATs (74%-79%), even without AFB smears, as compared with 3 smears alone (60%). Conclusions: Tuberculosis diagnostic testing with 2 AFB smears offered the same yield as 3 AFB smears while potentially reducing laboratory burden and duration of airborne infection isolation. Use of 1 or 2 NAATs increased sensitivity to detect culture-positive pulmonary tuberculosis when added to AFB smear-based diagnostic testing alone.

Indexed as

acid-fast bacilli (AFB) smearMycobacterium tuberculosisXpert MTB/RIF NAAT

Identifiers

PMID38872849
PMCPMC11170497

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.