Evidence map›Paper›PMID 38586244›Full record

ArticleOrthopedic reviews2024

Osteoarticular TB specimen yield rates. Large joint analysis at a single centre.

Marule Paul Kgagudi, Tiego Hlapolosa, Maxwell Jingo, Mmampapatla Thomas Ramokgopa, Eunice Van Den Berg

Open access · goldAbstract read
In one paragraph

Article in Orthopedic reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 1 institution in 1 country.

Marule Paul KgagudiOrthopaedic Surgery University of the Witwatersrand.ORCID https://orcid.org/0000-0002-0078-3995
Tiego HlapolosaOrthopaedic Surgery University of the Witwatersrand.
Maxwell JingoOrthopaedic Surgery University of the Witwatersrand.
Mmampapatla Thomas RamokgopaOrthopaedic Surgery University of the Witwatersrand.
Eunice Van Den BergAnatomical Pathology Wits University.
University of the Witwatersrand · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) remains endemic in South Africa. The spine, hip, and knee joints are common extra-pulmonary TB sites. Sound history taking, clinical examination, and basic laboratory and pathological tests remain key important steps in osteoarticular TB diagnosis. In our resources-stricken context cost is everything, if we can make a diagnosis cheaply that would go a long way. The diagnostic yield of standard laboratory tests compared to a real-time polymerase chain reaction (PCR) for osteoarticular TB diagnosis in a single orthopaedic unit has not been analysed. We conducted a retrospective record review of extra-spinal osteoarticular TB infection at our hospital from 01 June 2016 to 31 December 2021. Patient demographics, clinical history, and laboratory test results were analysed. A total of 34 cases were identified, with 32 of the cases being articular and two osseous involvement. The knee was the most common joint affected followed hip joint. Acid Fast Bacilli were detected in 32% of cases with microscopy, while TB culture was positive in 29% of samples. Histopathological examination and real-time PCR diagnosed TB in 66% and 63% of the cases, respectively. Our findings suggest that in the right context of a suggestive history and examination, histological analysis is as good as PCR for diagnosing osteoarticular TB.

Indexed as

DiagnosisPolymerase chain reactionTuberculous arthritis

Identifiers

PMID38586244
PMCPMC10994827
OpenAlexW4393869525

What OpenQuestion holds

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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.