Evidence map›Paper›PMID 28088248›Full record

ArticlePediatric rheumatology online journal2017

The spectrum of rheumatic in-patient diagnoses at a pediatric hospital in Kenya.

Angela Migowa, Inés Colmegna, Carol Hitchon, Eugene Were, Evelyn Ng'ang'a, Thomas Ngwiri, John Wachira, Sasha Bernatsky, Rosie Scuccimarri

Abstract read
In one paragraph

Article in Pediatric rheumatology online journal, 2017. 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
–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

11 citing papers in PubMed.

  1. Article
  2. Kawasaki disease in Kenya and review of the African literature.Pediatric rheumatology online journal · 2024
    Review
  3. Article
  4. Article
  5. Article
  6. Pediatric rheumatology in Africa: thriving amidst challenges.Pediatric rheumatology online journal · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Vasculitis in Africa.Current rheumatology reports · 2018
    Review
  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.

Angela MigowaDivision of Pediatric Rheumatology, Department of Pediatrics, McGill University Health Centre, 1001 Decarie Boulevard, Room A04.6306, Montreal, QC, Canada, H4A 3J1.
Inés ColmegnaDivision of Rheumatology, Department of Medicine, McGill University Health Centre, Montreal, QC, Canada.
Carol HitchonDivision of Rheumatology, Department of Internal Medicine, University of Manitoba, Winnipeg, MB, Canada.
Eugene WereDepartment of Pediatrics, Gertrude's Children's Hospital, Nairobi, Kenya.
Evelyn Ng'ang'aDepartment of Pediatrics, The Nairobi Hospital, Nairobi, Kenya.
Thomas NgwiriDepartment of Pediatrics, Gertrude's Children's Hospital, Nairobi, Kenya.
John WachiraDepartment of Pediatrics, Gertrude's Children's Hospital, Nairobi, Kenya.
Sasha BernatskyDivision of Rheumatology & Division of Clinical Epidemiology, Department of Medicine & Department of Epidemiology, Biostatistics and Occupational Health, McGill University Health Centre, McGill University, Montreal, QC, Canada.
Rosie ScuccimarriDivision of Pediatric Rheumatology, Department of Pediatrics, McGill University Health Centre, 1001 Decarie Boulevard, Room A04.6306, Montreal, QC, Canada, H4A 3J1. rosie.scuccimarri@muhc.mcgill.ca.ORCID http://orcid.org/0000-0002-7491-3318

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPediatric rheumatic diseases are chronic illnesses that can cause considerable disease burden to children and their families. There is limited epidemiologic data on these diseases in East Africa. The aim of this study was to assess the spectrum of pediatric rheumatic diagnoses in an in-patient setting and determine the accuracy of ICD-10 codes in identifying these conditions.

methodsMedical records from Gertrude's Children's Hospital in Kenya were reviewed for patients diagnosed with "diseases of the musculoskeletal system and connective tissue" as per ICD-10 diagnostic codes assigned at discharge between January and December 2011. Cases were classified as "rheumatic" or "non-rheumatic". Accuracy of the assigned ICD-10 code was ascertained. Death records were reviewed. Longitudinal follow-up of "rheumatic" cases was done by chart review up to March 2014.

resultsTwenty six patients were classified as having a "rheumatic" condition accounting for 0.32% of patients admitted. Of these, 11 (42.3%) had an acute inflammatory arthropathy, 6 (23.1%) had septic arthritis, 4 (15.4%) had Kawasaki disease, 2 (7.7%) had pyomyositis, and there was one case each of septic bursitis, rheumatic fever, and a non-specific soft tissue disorder. No cases of juvenile idiopathic arthritis (JIA) were identified. One case of systemic lupus erythematosus was documented by death records. The agreement between the treating physician's discharge diagnosis and medical records ICD-10 code assignment was good (Kappa: 0.769). On follow-up, one child had recurrent knee swelling that was suspicious for JIA.

conclusionsPediatric rheumatic conditions represented 0.32% of admissions at a pediatric hospital in Kenya. Acute inflammatory arthropathies, septic arthritis and Kawasaki disease were the most frequent in-patient rheumatic diagnoses. Chronic pediatric rheumatic diseases were rare amongst this in-patient population. Despite limitations associated with the use of administrative diagnostic codes, they can be a first step in evaluating the spectrum of pediatric rheumatic conditions in Kenya and other countries in East Africa.

Indexed as

AdolescentChildChild, PreschoolCross-Sectional StudiesFemaleHospitalizationHospitals, PediatricHumansInfantKenyaMaleRetrospective StudiesRheumatic DiseasesDiagnostic codesGlobal healthICD-10Juvenile arthritisKawasaki diseaseKenyaLupusPediatric rheumatology

Identifiers

PMID28088248
PMCPMC5237484

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Registered trials

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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.