Evidence map›Paper›PMID 37131827›Full record

ArticlemedRxiv : the preprint server for health sciences2023

A Tool for Low-Cost, Quantitative Assessment of Shoulder Function Using Machine Learning.

David M Darevsky, Daniel A Hu, Francisco A Gomez, Michael R Davies, Xuhui Liu, Brian T Feeley

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 7 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

David M DarevskyBioengineering Graduate Program, University of California San Francisco and University of California Berkeley, San Francisco, CA and Berkeley, CA.
Daniel A HuUniversity of California, San Francisco, Department of Orthopaedic Surgery.
Francisco A GomezUniversity of California, San Francisco, Department of Orthopaedic Surgery.
Michael R DaviesUniversity of California, San Francisco, Department of Orthopaedic Surgery.
Xuhui LiuUniversity of California, San Francisco, Department of Orthopaedic Surgery.
Brian T FeeleyUniversity of California, San Francisco, Department of Orthopaedic Surgery.
University of California, San Francisco · USSan Francisco VA Medical Center · US

Funding

Medical Scientist Training Program (T32 NRSA Training Grant)T32GM141323 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Aimee Kao · 2021 to 2026
$10.5M
Utilizing beige fat to improve muscle function after rotator cuff repairR01AR072669 · NIAMS · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI FEELEY, BRIAN · 2018 to 2022
$2.2M
Impact of Sleep and Corticostriatal Functional Connectivity on Behavioral FlexibilityF31NS127514 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DAREVSKY, DAVID · 2022 to 2022
$40k
BLRD VA I01 BX002680NIAMS NIH HHS R01 AR072669NIGMS NIH HHS T32 GM141323NINDS NIH HHS F31 NS127514
6 · The paper itself

Abstract

Tears within the stabilizing muscles of the shoulder, known as the rotator cuff (RC), are the most common cause of shoulder pain-often presenting in older patients and requiring expensive, advanced imaging for diagnosis

Identifiers

PMID37131827
PMCPMC10153347
OpenAlexW4366287452

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-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.