ArticleInternational orthopaedics2020
A clinical decision tool for septic arthritis in children based on epidemiologic data of atraumatic swollen painful joints in South Africa.
Article in International orthopaedics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed, 3 citations in OpenAlex.
- Clinical and Imaging Features of Chronic Occult Infectious Arthritis and Undifferentiated Oligoarthritis: A Comparative Analysis.Journal of clinical medicine · 2025Article
- Routine Pediatric Surgical Emergencies: Incidence, Morbidity, and Mortality During the 1st 8000 Days of Life-A Narrative Review.World journal of surgery · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundIn settings with limited access to specialist services, differentiating septic arthritis-a surgical emergency-from non-infectious atraumatic arthropathy in paediatric patients is challenging, especially in a setting with a high burden of tuberculosis (TB). We aimed to investigate the aetiologies of swollen, painful joints in an urban setting in South Africa and determine how clinical and laboratory findings varied with diagnosis. PATIENTS AND
methodsA retrospective review of patients aged 12 or younger presenting to a paediatric hospital in Cape Town, South Africa, with atraumatic swollen, painful joints was conducted over a two year period from 2013 to 2015. Children were excluded if they did not have tissue culture or analysis conducted at our facility. Aetiology was classified as non-infectious, TB septic arthritis, or pyogenic arthritis from other bacterial causes.
resultsOne hundred and four children met inclusion criteria. Arthritis was classified as non-infectious in 43 (41%), TB in 15 (14%), and pyogenic in 40 (38%), with six (6%) patients never receiving a final diagnosis. Mean C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), and white blood cell count (WCC) were all significantly higher in pyogenic infectious arthritis compared with TB and non-infectious arthritis. There were no significant differences in these parameters between non-infectious and TB arthritis. Using cut-point analysis, thresholds were identified predictive of the presence of pyogenic arthritis versus TB or non-infectious arthritis; these included the presence of fever, CRP > 50 mg/L, ESR > 65 mm/h and WCC > 12x10
conclusionsDespite insignificant differences in their clinical presentation compared with non-infectious arthidities, 15% of children were diagnosed with tissue-confirmed TB infection. Predictive values of clinical criteria are reduced in our population due to elevated levels of inflammatory markers in all patients. Synovial biopsy to rule out TB is recommended in all patients in a high-burden setting given clinical similarity to non-infectious aetiologies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.