MétaCan
Menu
Back to cohort
Record W3087307855 · doi:10.1177/1753193420953683

A systematic review of outcomes of wrist arthrodesis and wrist arthroplasty in patients with rheumatoid arthritis

2020· review· en· W3087307855 on OpenAlexaff
Xi Ming Zhu, Edward Perera, Chetan Gohal, Brittany B. Dennis, Moin Khan, Bashar Alolabi

Bibliographic record

VenueJournal of Hand Surgery (European Volume) · 2020
Typereview
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsMcMaster University
Fundersnot available
KeywordsWristMedicineArthroplastyArthrodesisRheumatoid arthritisComplicationSurgeryGrip strengthPhysical therapyPhysical medicine and rehabilitationInternal medicine

Abstract

fetched live from OpenAlex

Surgical management of end-stage rheumatoid wrists is a contentious topic. The standard surgical treatment has traditionally been wrist arthrodesis. Wrist arthroplasty, however, offers an alternative that preserves some wrist motion. A systematic review of MEDLINE, EMBASE and CENTRAL databases was conducted. Data from 23 studies representing 343 cases of wrist arthrodesis and 618 cases of wrist arthroplasty were included. Complication rates were 17% for arthrodesis and 19% for arthroplasty, and both procedures were effective at alleviating pain and improving grip strength. Functional assessment by Disabilities of the Arm, Shoulder, and Hand and Patient-Related Wrist Evaluation of arthroplasty patients revealed clinically meaningful functional improvement compared with preoperative measurements. In contrast to previously published findings both procedures demonstrated comparable complication rates. While this can be speculated to be from advancements in prosthetics, robust long-term follow-up data on wrist arthroplasty are not available yet.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.005
Bibliometrics0.0100.012
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.244
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations33
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Hand Surgery (European Volume)Same topicOrthopedic Surgery and RehabilitationFrench-language works237,207