Evidence map›Paper›PMID 25949825›Full record

ArticleTuberculosis research and treatment2015

The Application of GeneXpert MTB/RIF for Smear-Negative TB Diagnosis as a Fee-Paying Service at a South Asian General Hospital.

Poojan Shrestha, Amit Arjyal, Maxine Caws, Krishna Govinda Prajapati, Abhilasha Karkey, Sabina Dongol, Saruna Pathak, Shanti Prajapati, Buddha Basnyat

Open access · hybridAbstract read
In one paragraph

Article in Tuberculosis research and treatment, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Rifampicin-ResistantInfection and drug resistance · 2020
    Article
  5. Article
  6. Observational
  7. XpertThe international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2018
    Article
  8. Xpert MTB/RIF assay for the diagnosis ofJournal of clinical tuberculosis and other mycobacterial diseases · 2018
    Article
  9. Article
  10. Article
  11. 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

9 authors at 2 institutions in 3 countries.

Poojan ShresthaOxford University Clinical Research Unit, Patan Hospital, Patan Academy of Health Sciences, P.O. Box 252, Kathmandu, Nepal.ORCID 0000-0002-1604-082X
Amit ArjyalOxford University Clinical Research Unit, Patan Hospital, Patan Academy of Health Sciences, P.O. Box 252, Kathmandu, Nepal.
Maxine CawsDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool L3 5QA, UK ; Oxford University Clinical Research Unit, Hospital for Tropical Diseases, Wellcome Trust Major Overseas Programme, 764 Vo Van Kiet, District 5, Ho Chi Minh City, Vietnam.
Krishna Govinda PrajapatiDepartment of Microbiology and Immunology, Patan Hospital, Patan Academy of Health Sciences, P.O. Box 252, Kathmandu, Nepal.
Abhilasha KarkeyOxford University Clinical Research Unit, Patan Hospital, Patan Academy of Health Sciences, P.O. Box 252, Kathmandu, Nepal.
Sabina DongolOxford University Clinical Research Unit, Patan Hospital, Patan Academy of Health Sciences, P.O. Box 252, Kathmandu, Nepal.
Saruna PathakOxford University Clinical Research Unit, Patan Hospital, Patan Academy of Health Sciences, P.O. Box 252, Kathmandu, Nepal.
Shanti PrajapatiOxford University Clinical Research Unit, Patan Hospital, Patan Academy of Health Sciences, P.O. Box 252, Kathmandu, Nepal.
Buddha BasnyatOxford University Clinical Research Unit, Patan Hospital, Patan Academy of Health Sciences, P.O. Box 252, Kathmandu, Nepal.
Patan Academy of Health Sciences · NPLiverpool School of Tropical Medicine · GB

Funding

Wellcome Trust 089276
6 · The paper itself

Abstract

The GeneXpert MTB/RIF assay (Xpert) is a novel automated diagnostic tool for tuberculosis but its optimal placement in the healthcare system has not been determined. The objective of this study was to determine the possibility of additional case detection for pulmonary tuberculosis (PTB) by offering Xpert to smear-negative patients in a low-HIV burden setting with no Mycobacterium tuberculosis (M.tb.) culture facilities. Patients routinely presenting with symptoms suggestive of PTB with negative smears were offered single Xpert test on a fee-paying basis. Data were retrospectively reviewed to determine case detection in patients tested from February to December 2013. Symptoms associated with a positive test were analysed to determine if refinement of clinical criteria would reduce unnecessary testing. 258 smear-negative patients were included and M.tb. was detected in 55 (21.32%, n = 55/258). Using standard clinical assessment for selection, testing 5 patients detected one case of smear-negative PTB. These results demonstrate that fee-paying Xpert service in low-income setting can increase TB case confirmation substantially and further systematic studies of health economic implications should be conducted to determine optimal implementation models to increase access to Xpert in low- and middle-income countries.

Identifiers

PMID25949825
PMCPMC4407628
OpenAlexW2031038264

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.