ReviewDer Orthopade2022
Pediatric back pain-Diagnostic algorithm.
Review in Der Orthopade, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled 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.
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, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.
- Clinical Practice Guideline for Best Practice Management of Pediatric Patients by Chiropractors: Results of a Delphi Consensus Process.Journal of integrative and complementary medicine · 2024Guideline
- Diagnostic Excellence in Pediatric Spine Imaging: Using Contextualized Imaging Protocols.Diagnostics (Basel, Switzerland) · 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
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBack pain in the pediatric population is common. History and a thorough physical examination and a systematic work-up approach are key components to guide the physician in evaluating the possible causes of pain and providing appropriate treatment.
objectiveThe main aim of this review was to develop an algorithmic approach to assist physicians in the assessment of pediatric back pain. A comprehensive review of prevalence, differential diagnoses and proper management of pediatric back pain are also presented. MATERIAL AND
methodsAn extensive literature search was performed in PubMed to gather articles on the prevalence, risk factors, diagnostic tools, differential diagnoses and appropriate management of pediatric back pain.
resultsAvailable literature revealed that pediatric back pain is a common complaint. Although most cases are non-specific and self-limiting, there is a wide differential that should be considered including inflammatory, neoplastic, infectious and mechanical causes. Sedentary lifestyle, obesity and vigorous physical activity have been shown to increase the likelihood of developing back pain. We proposed an algorithm to guide the physician's decision about the next step in the diagnostic process.
conclusionA well-defined strategy in the diagnostic process is needed in approaching children/adolescents with back pain. This would have the benefit of minimizing costs, unnecessary tests and child/family anxiety as well as increasing the likelihood of early diagnosis and proper treatment.
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.