Predicting treatment response in patients with acute or chronic pain using a composite scale derived from multiple patient–reported outcome measures

Authors

Publication Details

Published
2025-11-20
Primary Topic
Pain Management and Opioid Use
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predicting treatment response in patients with acute or chronic pain using a composite scale derived from multiple patient–reported outcome measures

愛子 河合, アイコ カワイ
Pain Management and Opioid Use
article

Predicting treatment response in patients with acute or chronic pain using a composite scale derived from multiple patient–reported outcome measures

愛子 河合, アイコ カワイ
article en

Abstract

No abstract available for this paper.
Openalex Percentile: Top 22%
Pain Management and Opioid Use
Open Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Predicting treatment response in patients with acute or chronic pain using a composite scale derived from multiple patient–reported outcome measures — 愛子 河合, アイコ カワイ · (2025) | TGRS Research Map | TGRS