Evidence map›Paper›PMID 31001571›Full record

ArticleHealth services research and managerial epidemiology

A Longitudinal Analysis of Total Pain Scores for a Panel of Patients Treated by Pain Clinics.

Thomas T H Wan, Varadraj Gurupur, Anand Patel

Open access · goldAbstract read
In one paragraph

Article in Health services research and managerial epidemiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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 2 institutions in 1 country.

Thomas T H WanDepartment of Health Management and Informatics, University of Central Florida, Orlando, FL, USA.
Varadraj GurupurDepartment of Health Management and Informatics, University of Central Florida, Orlando, FL, USA.
Anand PatelFlorida Hospital Pain Medicine, Orlando, FL, USA.
University of Central Florida · USAdventHealth Orlando · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a critical necessity to identify psychometric properties of the total pain score as a measurement of pain management effectiveness in the clinic. PURPOSE: In this article, we perform the analysis of the global pain scores from a panel of patients treated by 10 pain management physicians in a single group practice. BASIC PROCEDURES: The pain measurement consists of 4 pain subscales, namely physical pain, emotions, clinical outcome, and activities. A panel of 130 patients with 4 pain measurements is available to perform longitudinal analysis of the total pain scores. The analysis includes the following: (1) confirmatory factor analysis of the global pain scores with 4 related dimensions, (2) the stability of the pain scores between 2 clinical visits, (3) the change trajectories of pain scores in 4 waves of the pain measurement, and (4) the detection of physician variability in patients' treatment outcomes measured by the reduction of total pain scores. MAIN

findingsThe global pain scores were relatively stable between time 1 and time 2 clinical visits. The analysis indicated that there was a decrease in pain with longitudinal advancement in treatment. It also indicated that there was no significant change in this improvement with respect to difference in physicians involved in providing treatment. PRINCIPAL

conclusionWhile the results indicated a decrease in pain with an alleviation in treatment provided to the patient, the article delineates a well-thought scientific approach to the targeted problem.

Indexed as

and longitudinal analysisglobal pain scorevalidity and reliability in pain measurement

Identifiers

PMID31001571
PMCPMC6454651
OpenAlexW2935965130

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.