SynthesisPhysical therapy2009
Clinical prediction rules for physical therapy interventions: a systematic review.
Synthesis in Physical therapy, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 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
31 citing papers in PubMed, 1 synthesis or guideline pooled it, 93 citations in OpenAlex.
- Clinical prediction models for aneurysmal subarachnoid hemorrhage: a systematic review.Neurocritical care · 2013Pooled it
- Trial
- How To Improve Patient Selection in Individuals With Lower Extremity Amputation Using a Bone-anchored Prosthesis.Clinical orthopaedics and related research · 2025Article
- Association of Quadratus Lumborum Muscle Stiffness with Chronic Low Back Pain Features: An Observational Study.Medicina (Kaunas, Lithuania) · 2025Observational
- Predicting median nerve depth from anthropometric features: A tool for safer invasive procedures.PloS one · 2025Observational
- Prediction Model for Sciatic Nerve Procedures: A Cross-Sectional Study.Journal of clinical medicine · 2024Article
- Testing the Safety of Piriformis Dry Needling Interventions: An Observational Study Evaluating the Predictive Value of Anthropometric and Demographic Factors.Journal of clinical medicine · 2024Article
- Comparative Effects of Neurodynamic Slider and Tensioner Mobilization Techniques on Sympathetic Nervous System Function: A Randomized Controlled Trial.Journal of clinical medicine · 2024Article
- Shoulder pain: Is the outcome of manual therapy, acupuncture and electrotherapy different for people with high compared to low pain self-efficacy? An analysis of effect moderation.Shoulder & elbow · 2023Article
- Convergent Validity between Electromyographic Muscle Activity, Ultrasound Muscle Thickness and Dynamometric Force Measurement for Assessing Muscle.Sensors (Basel, Switzerland) · 2023Article
- Identifying female responders to proximal control exercises in patellofemoral pain syndrome: A clinical prediction rule.Journal of Taibah University Medical Sciences · 2022Article
- Correlation among Routinary Physical Activity, Salivary Cortisol, and Chronic Neck Pain Severity in Office Workers: A Cross-Sectional Study.Biomedicines · 2022Article
- Regression Model Decreasing the Risk of Femoral Neurovascular Bundle Accidental Puncture.Tomography (Ann Arbor, Mich.) · 2022Article
- Association of Neuropathic Pain Symptoms with Sensitization Related Symptomatology in Women with Fibromyalgia.Biomedicines · 2022Article
- Article
- Prediction Model of Soleus Muscle Depth Based on Anthropometric Features: Potential Applications for Dry Needling.Diagnostics (Basel, Switzerland) · 2020Article
- Analysis of Motor Control in Patients With Low Back Pain: A Key to Personalized Care?The Journal of orthopaedic and sports physical therapy · 2019Article
- Clinical Decision Support Tools for Selecting Interventions for Patients with Disabling Musculoskeletal Disorders: A Scoping Review.Journal of occupational rehabilitation · 2016Article
- CLINICAL PROGNOSTIC FACTORS FOR PATIENTS WITH ANTERIOR KNEE PAIN IN PHYSICAL THERAPY; A SYSTEMATIC REVIEW.International journal of sports physical therapy · 2015Article
- Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist.PLoS medicine · 2014Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
background and purposeClinical prediction rules (CPRs) involving physical therapy interventions have been published recently. The quality of the studies used to develop the CPRs was not previously considered, a fact that has potential implications for clinical applications and future research. The purpose of this systematic review was to determine the quality of published CPRs developed for physical therapy interventions.
methodsRelevant databases were searched up to June 2008. Studies were included in this review if the explicit purpose was to develop a CPR for conditions commonly treated by physical therapists. Validated CPRs were excluded from this review. Study quality was independently determined by 3 reviewers using standard 18-item criteria for assessing the methodological quality of prognostic studies. Percentage of agreement was calculated for each criterion, and the intraclass correlation coefficient (ICC) was determined for overall quality scores.
resultsTen studies met the inclusion criteria and were included in this review. Percentage of agreement for individual criteria ranged from 90% to 100%, and the ICC for the overall quality score was .73 (95% confidence interval=.27-.92). Criteria commonly not met were adequate description of inclusion or exclusion criteria, inclusion of an inception cohort, adequate follow-up, masked assessments, sufficient sample sizes, and assessments of potential psychosocial factors. Quality scores for individual studies ranged from 48.2% to 74.0%. DISCUSSION AND
conclusionValidation studies are rarely reported in the literature; therefore, CPRs derived from high-quality studies may have the best potential for use in clinical settings. Investigators planning future studies of physical therapy CPRs should consider including inception cohorts, using longer follow-up times, performing masked assessments, recruiting larger sample sizes, and incorporating psychological and psychosocial assessments.
Indexed as
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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.