Evidence map›Paper›PMID 35181267›Full record

ArticleArchives of physical medicine and rehabilitation2022

Precision Rehabilitation: Optimizing Function, Adding Value to Health Care.

Margaret A French, Ryan T Roemmich, Kelly Daley, Meghan Beier, Sharon Penttinen, Preeti Raghavan, Peter Searson, Stephen Wegener, Pablo Celnik

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in Archives of physical medicine and rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05820412 (Individualized Use of a Multi-dimensional Instrumented Assessment of Motor Function and Balance Following an Intensive Therapy Episode of Care), which is not on this map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
–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.

NCT05820412 completednot on this mapstarted 2023, after this paper: background citation

Individualized Use of a Multi-dimensional Instrumented Assessment of Motor Function and Balance Following an Intensive Therapy Episode of Care

TypeobservationalSponsorUniversity of Missouri-ColumbiaRan2023 to 2023Enrolled4ConditionsNeurodevelopmental DisordersArmsIntensive interdisciplinary therapy
3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Collaborative AI for precision neurorehabilitation: a roadmap.Journal of neuroengineering and rehabilitation · 2025
    Review
  13. Article
  14. AMPREDICT MoRe: Predicting Mortality and Re-amputation Risk after Dysvascular Amputation.European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery · 2025
    Article
  15. Review
  16. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Margaret A FrenchDepartment of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD.
Ryan T RoemmichDepartment of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD; Kennedy Krieger Institute, Center for Movement Studies, Baltimore, MD.
Kelly DaleyDepartment of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD.
Meghan BeierDepartment of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD.
Sharon PenttinenTechnology Innovation Center, Johns Hopkins Medicine, Baltimore, MD.
Preeti RaghavanDepartment of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD.
Peter SearsonDepartment of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD; Institute of Nanobiotechnology, Johns Hopkins University, Baltimore, MD, United States.
Stephen WegenerDepartment of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD.
Pablo CelnikDepartment of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD. Electronic address: pcelnik@jhmi.edu.

Funding

Sleep and Circadian Dysfunction, Brain and Neurobehavioral Development in AutismP50HD103538 · NICHD · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI S. Ali Fatemi, Bradley L Schlaggar · 2020 to 2026
$9.9M
6 · The paper itself

Abstract

Precision medicine efforts are underway in many medical disciplines; however, the power of precision rehabilitation has not yet been explored. Precision medicine aims to deliver the right intervention, at the right time, in the right setting, for the right person, ultimately bolstering the value of the care that we provide. To date, precision medicine efforts have rarely focused on function at the level of a person, but precision rehabilitation is poised to change this and bring the focus on function to the broader precision medicine enterprise. To do this, subgroups of individuals must be identified based on their level of function via precise measurement of their abilities in the physical, cognitive, and psychosocial domains. Adoption of electronic health records, advances in data storage and analytics, and improved measurement technology make this shift possible. Here we detail critical components of the precision rehabilitation framework, including (1) the synergistic use of various study designs, (2) the need for standardized functional measurements, (3) the importance of precise and longitudinal measures of function, (4) the utility of comprehensive databases, (5) the importance of predictive analyses, and (6) the need for system and team science. Precision rehabilitation has the potential to revolutionize clinical care, optimize function for all individuals, and magnify the value of rehabilitation in health care; however, to reap the benefits of precision rehabilitation, the rehabilitation community must actively pursue this shift.

Indexed as

Delivery of Health CarePrecision MedicineHumansPersonalized medicinePrecision medicineRehabilitation

Identifiers

PMID35181267

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.