SynthesisPain medicine (Malden, Mass.)2020
Validity of Algorithms for Identification of Individuals Suffering from Chronic Noncancer Pain in Administrative Databases: A Systematic Review.
Synthesis in Pain medicine (Malden, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed, 17 citations in OpenAlex.
- Chronic Pain Identification Through Electronic Records (C-PICTURE): development and validation of an algorithm to identify people with chronic pain using primary care records: study protocol.BMC public health · 2026Article
- Sex, gender, and sociodemographic factors associated with repeated prescription refills in chronic pain: insights from a prescription claims cohort study.Frontiers in pain research (Lausanne, Switzerland) · 2026Article
- A sex- and gender-based analysis plus of frequent healthcare utilization among individuals living with chronic pain: a cohort study.BMC health services research · 2025Article
- Unpacking excessive polypharmacy patterns among individuals living with chronic pain in Quebec: a longitudinal study.Frontiers in pain research (Lausanne, Switzerland) · 2025Article
- Opioid analgesics for chronic noncancer pain in patients prescribed opioid agonist therapy or with opioid use disorder: A systematic review.Canadian journal of pain = Revue canadienne de la douleur · 2025Review
- Article
- Sex and gender differences in healthcare utilisation trajectories: a cohort study among Quebec workers living with chronic pain.BMJ open · 2023Article
- Chronic pain is a risk factor for incident Alzheimer's disease: a nationwide propensity-matched cohort using administrative data.Frontiers in aging neuroscience · 2023Article
- Antiepileptic prescribing to persons living with dementia residing in nursing homes: A tale of two indications.Journal of the American Geriatrics Society · 2023Article
- Chronic pain patients' willingness to share personal identifiers on the web for the linkage of medico-administrative claims and patient-reported data: The chronic pain treatment cohort.Pharmacoepidemiology and drug safety · 2021Article
- Identifying cases of chronic pain using health administrative data: A validation study.Canadian journal of pain = Revue canadienne de la douleur · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundSecondary analysis of health administrative databases is indispensable to enriching our understanding of health trajectories, health care utilization, and real-world risks and benefits of drugs among large populations.
objectivesThis systematic review aimed at assessing evidence about the validity of algorithms for the identification of individuals suffering from nonarthritic chronic noncancer pain (CNCP) in administrative databases.
methodsStudies reporting measures of diagnostic accuracy of such algorithms and published in English or French were searched in the Medline, Embase, CINAHL, AgeLine, PsycINFO, and Abstracts in Social Gerontology electronic databases without any dates of coverage restrictions up to March 1, 2018. Reference lists of included studies were also screened for additional publications.
resultsOnly six studies focused on commonly studied CNCP conditions and were included in the review. Some algorithms showed a ≥60% combination of sensitivity and specificity values (back pain disorders in general, fibromyalgia, low back pain, migraine, neck/back problems studied together). Only algorithms designed to identify fibromyalgia cases reached a ≥80% combination (without replication of findings in other studies/databases).
conclusionsIn summary, the present investigation informs us about the limited amount of literature available to guide and support the use of administrative databases as valid sources of data for research on CNCP. Considering the added value of such data sources, the important research gaps identified in this innovative review provide important directions for future research. The review protocol was registered with PROSPERO (CRD42018086402).
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Registered trials
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.