Evidence map›Paper›PMID 34251274›Full record

ArticleBone & joint open2021

Can PROMIS measures be used to create subgroups for patients seeking orthopaedic care?

Steven Z George, Xiaofang Yan, Sheng Luo, Steven A Olson, Emily K Reinke, Michael P Bolognesi, Maggie E Horn

Abstract read
In one paragraph

Article in Bone & joint open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Steven Z GeorgeDepartment of Orthopaedic Surgery and Duke Clinical Research Institute, Duke University, Durham, North Carolina, USA.ORCID https://orcid.org/0000-0003-4988-9421
Xiaofang YanBiostatistics & Bioinformatics and Duke Clinical Research Institute, Duke University, Durham, North Carolina, USA.
Sheng LuoBiostatistics & Bioinformatics and Duke Clinical Research Institute, Duke University, Durham, North Carolina, USA.
Steven A OlsonDepartment of Orthopaedic Surgery, Division of Trauma, Duke University, Durham, North California, USA.
Emily K ReinkeDepartment of Orthopaedic Surgery, Division of Sports Medicine, Duke University, Durham, North California, USA.
Michael P BolognesiDepartment of Orthopaedic Surgery, Division of Adult Reconstruction, Duke University, Durham, North California, USA.
Maggie E HornDepartment of Orthopaedic Surgery, Division of Physical Therapy, Duke University, Durham, North California, USA.

Funding

Biopsychosocial Influence on Shoulder PainR01AR055899 · NIAMS · UNIVERSITY OF FLORIDA · PI GEORGE, STEVEN Z · 2008 to 2020
$5.5M
NIAMS NIH HHS R01 AR055899
6 · The paper itself

Abstract

aimsPatient-reported outcome measures have become an important part of routine care. The aim of this study was to determine if Patient-Reported Outcomes Measurement Information System (PROMIS) measures can be used to create patient subgroups for individuals seeking orthopaedic care.

methodsThis was a cross-sectional study of patients from Duke University Department of Orthopaedic Surgery clinics (14 ambulatory and four hospital-based). There were two separate cohorts recruited by convenience sampling (i.e. patients were included in the analysis only if they completed PROMIS measures during a new patient visit). Cohort #1 (n = 12,141; December 2017 to December 2018,) included PROMIS short forms for eight domains (Physical Function, Pain Interference, Pain Intensity, Depression, Anxiety, Sleep Quality, Participation in Social Roles, and Fatigue) and Cohort #2 (n = 4,638; January 2019 to August 2019) included PROMIS Computer Adaptive Testing instruments for four domains (Physical Function, Pain Interference, Depression, and Sleep Quality). Cluster analysis (K-means method) empirically derived subgroups and subgroup differences in clinical and sociodemographic factors were identified with one-way analysis of variance.

resultsCluster analysis yielded four subgroups with similar clinical characteristics in Cohort #1 and #2. The subgroups were: 1)

conclusionThese findings suggest orthopaedic patient subgroups differing in physical function, pain, and psychosocial distress can be created from as few as four different PROMIS measures. Longitudinal research is necessary to determine whether these subgroups have prognostic validity. Cite this article:

Indexed as

Pain interferencePatient-reported outcomesPhenotypesPhysical functionPrognostic

Identifiers

PMID34251274
PMCPMC8325967

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
Read underepoch 390

Registered trials

None linked

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.