Evidence map›Paper›PMID 21279485›Full record

ArticleClinical orthopaedics and related research2011

Breakout session: Gender and ethnic disparities in pain management.

Atul F Kamath, Mary I O'Connor

Open access · greenAbstract read
In one paragraph

Article in Clinical orthopaedics and related research, 2011. 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
0.8field-weighted citation impact, top 26% 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, 11 citations in OpenAlex.

  1. Article
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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

2 authors at 2 institutions in 1 country.

Atul F KamathDepartment of Orthopaedic Surgery, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Mary I O'Connor
Hospital of the University of Pennsylvania · USMayo Clinic in Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPain management is a complex and evolving topic. Treatment of pain must account for biochemical as well as social and economic factors. Sex, gender, and ethnic differences exist in the pathophysiology, diagnosis, and provision of care for patients with pain. QUESTIONS/PURPOSES: We sought to identify the sex, gender, and ethnic disparities leading to care inequalities with respect to pain management. Our purposes were to (1) clarify the state of where we are now, (2) outline ways to approach where we need to go, and (3) generate solutions for how we get there. WHERE ARE WE NOW?: Studies are beginning to uncover the biologic mechanisms underlying the pain response in sex, gender, and ethnic subgroups. Patient characteristics that increase the risk of postoperative pain are being identified. WHERE DO WE NEED TO GO?: Much work needs to be done in medical education with respect to sex, gender, and ethnic disparities in pain management. Research efforts must better describe differences in physiology of pain, incidence of pain, coping strategies, patient-doctor relationships, and gender/ethnic-specific modes of care for the patient with pain. HOW DO WE GET THERE?: Future work will involve combined efforts with pain/anesthesia specialty societies, developing a disparities and pain management curriculum for medical providers, endorsing health literacy, performing high-quality Level I/II research, and exploring systems processes in pain management in the acute hospital setting.

Indexed as

EthnicityHealthcare DisparitiesMinority GroupsPain ManagementPrejudiceFemaleHumansMaleMenMinority HealthPainPain MeasurementSex FactorsWomen

Identifiers

PMID21279485
PMCPMC3111772
OpenAlexW1990675369

What OpenQuestion holds

Textmetadata
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.