Evidence map›Paper›PMID 42180438›Full record

ArticleInterventional pain medicine2026

Referral patterns and requested interventions in a cancer pain e-consult system.

Sarah Ahmed, Matthew Robert Smith, Moustafa Abdalla, Vicki Jackson, David Hao

Abstract read
In one paragraph

Article in Interventional pain medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sarah AhmedDepartment of Anesthesiology, Mass General Brigham, Harvard Medical School, Boston, MA, USA.
Matthew Robert SmithDepartment of Anesthesiology, Mass General Brigham, Harvard Medical School, Boston, MA, USA.
Moustafa AbdallaDepartment of Surgery, Mass General Brigham, Harvard Medical School, Boston, MA, USA.
Vicki JacksonDepartment of Medicine, Boston University Chobanian & Avedisian School of Medicine, USA.
David HaoDepartment of Anesthesiology, Mass General Brigham, Harvard Medical School, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic pain affects a substantial proportion of patients with cancer and remains undertreated despite advances in pharmacologic and interventional management. Electronic consultation (e-consult) systems have improved specialty access in other fields, yet their application to interventional cancer pain has not been described. Objectives: To characterize the referral patterns and requested interventions of a dedicated interventional cancer pain e-consult platform at a large academic medical center. Methods: We conducted a single-center retrospective study of interventional cancer pain e-consults placed through the electronic health record at Massachusetts General Hospital between January 1, 2020, and December 30, 2024. Consult orders were identified via structured EHR query and underwent manual chart review. Abstracted variables included demographics, referring specialty, intervention category, mortality status, and days from referral to death. Associations between intervention category and sex or mortality were evaluated using chi-square and Fisher's exact tests. Results: A total of 348 e-consults were included. Mean age at referral was 62 years (SD 15); sex distribution was near equal (49% male). At the time of review, 53% of patients were deceased, with a median interval from referral to death of 148 days (IQR 62-282). The most frequently requested interventions were celiac axis block (24%), spine-related procedures (16%), and opioid management (14%). Hospice and palliative medicine accounted for 53% of referrals, followed by gastrointestinal oncology (12%). Vital status at data extraction differed significantly by intervention category (p = 0.049), with celiac axis block associated with higher odds of deceased status (OR 1.76, p = 0.03) and intercostal nerve block associated with lower odds (OR 0.29, p = 0.04). Conclusions: A dedicated interventional cancer pain e-consult system attracted referrals spanning 19 procedural categories and multiple oncologic and palliative specialties, including a substantial proportion of patients near end of life. These findings suggest that e-consults represent a scalable, low-friction mechanism to broaden access to interventional pain expertise across the cancer care continuum.

Identifiers

PMID42180438
PMCPMC13197763

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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.