Evidence map›Paper›PMID 35543815›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2022

An exploratory study of factors associated with long-term, high-dose opioid prescription in cancer patients in Japan based on a medical claims database.

Tatsuya Hashimoto, Hirokazu Mishima, Chika Sakai, Yuichi Koretaka, Yoji Saito

Open access · hybridAbstract read
In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2022. 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
0.3field-weighted citation impact, top 45% 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

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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, 1 citations in OpenAlex.

  1. Trial
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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

5 authors at 2 institutions in 1 country.

Tatsuya HashimotoDepartment of Anesthesiology, Faculty of Medicine, Shimane University, 89-1 Enya-cho, Izumo, Shimane, Japan. hashit@med.shimane-u.ac.jp.
Hirokazu MishimaMedical Affairs Department, Shionogi & Co. Ltd., Osaka, Japan.
Chika SakaiMedical Affairs Department, Shionogi & Co. Ltd., Osaka, Japan.
Yuichi KoretakaData Science Department, Shionogi & Co. Ltd., Osaka, Japan.
Yoji SaitoDepartment of Anesthesiology, Faculty of Medicine, Shimane University, 89-1 Enya-cho, Izumo, Shimane, Japan.
Shionogi (Japan) · JPShimane University · JP

Funding

Shionogi N/A
6 · The paper itself

Abstract

purposeAs the cancer survivors increase, patients using long-term and high-dose opioids are also increasing. Therefore, the promotion of appropriate use is important. This study investigated the actual status of opioid prescriptions in Japan and identified factors associated with long-term, high-dose prescription.

methodsWe conducted a case-control study using a hospital-based administrative claims database. Patients with a diagnosis of cancer and prescriptions of opioids were included. Patients who received continuous opioid for less than 183 days were defined as the "control," and patients who received continuous opioid at higher dose levels (≥ 120 mg/day of oral morphine equivalent) for 183 days or more were defined as the "case." The case was subdivided into two groups: those with the duration of less than 730 days (case I) and 730 days or more (case II). After describing factors possibly associated with long-term, high-dose opioid prescription, ordinal logistic regression analysis was conducted.

resultsWe included 19,176 patients; of these, 13,517 were in the control, 111 were in the case I, and 682 were in the case II. The analysis showed that distant metastasis, back pain, dose of opioids, non-opioid analgesics, prescription, and chemotherapy during the opioid prescriptions were significantly associated with long-term, high-dose opioid prescription.

conclusionFour percent of the study population were prescribed long-term, high-dose opioids, and several comorbidities and concomitant medications were identified as associated factors. Opioids might be also prescribed for non-cancer chronic pain. It is necessary to properly distinguish the type of pain and to use opioids safely and appropriately.

Indexed as

Chronic PainNeoplasmsAnalgesics, OpioidCase-Control StudiesDrug PrescriptionsHumansJapanPractice Patterns, Physicians'Analgesics, OpioidCancer painCancer survivorClaims databaseLong-term high-dose opioid prescription

Identifiers

PMID35543815
PMCPMC9213265
OpenAlexW4280531007

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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.