Evidence map›Paper›PMID 28115796›Full record

ArticleJournal of orthopaedics2017

Evaluation of rapid GeneXpert MTB/RIF method using DNA tissue specimens of vertebral bones in patients with suspected spondylitis TB.

Muhammad Nasrum Massi, Karya Triko Biatko, Irda Handayani, Muhammad Yogi Pratama, Sari Septriani, Gaby Maulida Nurdin, Marina B Ali

Open access · bronzeAbstract read
In one paragraph

Article in Journal of orthopaedics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 5 pooled it
2.2field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 5 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. XpertThe Cochrane database of systematic reviews · 2018
    Pooled it
  6. Journal of clinical orthopaedics and trauma · 2023
    Review
  7. Article
  8. Article
  9. Review
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 at 1 institution in 1 country.

Muhammad Nasrum MassiDepartment of Medical Microbiology, Medical Faculty, Hasanuddin University, Makassar 90245, Indonesia.
Karya Triko BiatkoDepartment of Orthopedic and Traumotology, Medical Faculty, Hasanuddin University, Makassar 90245, Indonesia.
Irda HandayaniClinical Pathology Laboratory, Wahidin Sudirohusodo Hospital, Makassar 90245, Indonesia.
Muhammad Yogi PratamaDepartment of Medical Microbiology, Medical Faculty, Hasanuddin University, Makassar 90245, Indonesia.
Sari SeptrianiMedical Research Center, Medical Faculty, Hasanuddin University, Makassar 90245, Indonesia.
Gaby Maulida NurdinMedical Research Center, Medical Faculty, Hasanuddin University, Makassar 90245, Indonesia.
Marina B AliMedical Research Center, Medical Faculty, Hasanuddin University, Makassar 90245, Indonesia.
Hasanuddin University · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo detect METHODS AND

resultsThe rapid GeneXpert MTB/RIF and MGIT 960 liquid culture methods have been used in the specimens. Results from 70 suspects with spondylitis TB shown that 31.42% identified positive for spondylitis TB using culture method, while 88.57% shown positive results using rapid GeneXpert MTB/RIF method. The validity of GeneXpert MTB/RIF shown sensitivity value of 100%, specificity value of 16.6%, PPV of 35.48%, and NPV of 100%.

conclusionGeneXpert has a high sensitivity but low specificity value in this study.

Indexed as

DNA M. tuberculosisGeneXpert MTB/RIFSpecimen pusSpondylitis TB

Identifiers

PMID28115796
PMCPMC5226853
OpenAlexW2570380783

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.