Evidence map›Paper›PMID 37886028›Full record

ArticleJournal of pain & relief2023

Telemedicine-Based Digital Cognitive Behavioral Intervention for Perioperative Anxiety and Depression for Total Knee Arthroplasty.

Ata Murat Kaynar, Nicole Zharichenko, Ajay D Wasan, Jacques E Chelly

Open access · greenAbstract read
In one paragraph

Article in Journal of pain & relief, 2023. 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
0.4field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  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

4 authors at 1 institution in 1 country.

Ata Murat KaynarDepartment of Anesthesiology and Perioperative Medicine, University of Pittsburgh Medical Center, Pennsylvania, USA.
Nicole ZharichenkoDepartment of Anesthesiology and Perioperative Medicine, University of Pittsburgh Medical Center, Pennsylvania, USA.
Ajay D WasanDepartment of Anesthesiology and Perioperative Medicine, University of Pittsburgh Medical Center, Pennsylvania, USA.
Jacques E ChellyDepartment of Anesthesiology and Perioperative Medicine, University of Pittsburgh Medical Center, Pennsylvania, USA.
University of Pittsburgh · US

Funding

Proof of concept study to treat negative affect in chronic low back painUH3AR076568 · NIAMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WASAN, AJAY D · 2020 to 2023
$2.9M
Reduction of opioid requirement associated with Auriculo-nerve stimulation following open surgeryR01DA054513 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHELLY, JACQUES E., SADHASIVAM, SENTHILKUMAR · 2022 to 2025
$2.1M
NIAMS NIH HHS UH3 AR076568NIDA NIH HHS R01 DA054513
6 · The paper itself

Abstract

Introduction: Preoperative anxiety and depression have been shown to increase postoperative pain and opioid consumption by up to 50% in patients undergoing primary unilateral Total Knee Arthroplasty (TKA). We hypothesized that the use of a telemedicine-based digital Cognitive Behavioral Intervention program (RxWell Materials and methods: This was a randomized, controlled trial that enrolled patients undergoing primary unilateral TKA. At least a month prior to surgery, patients who gave consent to participate were asked to complete PROMIS Results: T scores for anxiety and depression among patients randomized to the RxWell Conclusion: These preliminary data suggest that the use of a RxWell

Indexed as

AnxietyDepressionPatient-Reported Outcomes Measurement Information System (PROMIS)TelemedicineTotal Knee Arthroplasty (TKA)

Identifiers

PMID37886028
PMCPMC10601399
OpenAlexW4387965294

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.