Evidence map›Paper›PMID 32945932›Full record

ReviewSkeletal radiology2021

Imaging-based patient-reported outcomes (PROs) database: How we do it.

Soterios Gyftopoulos, Adam Jacobs, Mohammad Samim

Open access · hybridAbstract readReview
In one paragraph

Review in Skeletal radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 41% of its field
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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Soterios GyftopoulosDepartment of Radiology, NYU Langone Health, 660 First Avenue, New York, NY, 10016, USA.
Adam JacobsDepartment of Radiology, NYU Langone Health, 660 First Avenue, New York, NY, 10016, USA. adam.jacobs@nyulangone.org.
Mohammad SamimDepartment of Radiology, NYU Langone Health, 660 First Avenue, New York, NY, 10016, USA.
NYU Langone Health · US

Funding

Prediction of Recurrent Anterior Shoulder Instability Using the On/Off Track Method and 3D MRI: A Clinical Outcomes and Cost-Effectiveness StudyR01AR072614 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GYFTOPOULOS, SOTERIOS · 2018 to 2022
$2.1M
NIAMS NIH HHS R01 AR072614NIH HHS R01 AR072614
6 · The paper itself

Abstract

Patient-reported outcomes (PROs) provide an essential understanding of the impact a condition or treatment has on a patient, while complementing other, more traditional outcomes information like survival and time to symptom resolution. PROs have become increasingly important in medicine with the push toward patient-centered care. The creation of a PROs database within an institution or practice provides a way to collect, understand, and use this kind of patient feedback to inform quality improvement and develop the evidence base for medical decision-making and on a larger scale could potentially help determine national standards of care and treatment guidelines. This paper provides a first-hand account of our experience setting up an imaging-based PROs database at our institution and is organized into steps the reader can follow for creating a PROs database of their own. Given the limited use of PROs within both diagnostic and interventional radiology, we hope our paper stimulates a new interest among radiologists who may have never considered outcomes work in the past.

Indexed as

Patient-Centered CarePatient Reported Outcome MeasuresDiagnostic ImagingHumansAnterior shoulder instabilityOutcomes researchPatient-reported outcomesPROMsRadiology

Identifiers

PMID32945932
PMCPMC7811985
OpenAlexW3087067241

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.