Evidence map›Paper›PMID 32919839›Full record

Observational studyThe Journal of emergency medicine2020

Predicting the Transition to Chronic Pain 6 Months After an Emergency Department Visit for Acute Pain: A Prospective Cohort Study.

Benjamin W Friedman, Lorena Abril, Farnia Naeem, Eddie Irizarry, Andrew Chertoff, Michael McGregor, Polly E Bijur, E John Gallagher

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in The Journal of emergency medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Defining the need for analgesia in the emergency department: an international consensus statement.European journal of emergency medicine : official journal of the European Society for Emergency Medicine · 2026
    Article
  4. Suzetrigine for Acute Pain in the Emergency Department: A First-in-Class NaV1.8 Blocker.Journal of the American College of Emergency Physicians open · 2026
    Article
  5. Review
  6. Article
  7. Observational
  8. Review
  9. Article
  10. Feelings of Patients Admitted to the Emergency Department.Healthcare (Basel, Switzerland) · 2025
    Article
  11. Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Benjamin W FriedmanDepartment of Emergency Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York.
Lorena AbrilDepartment of Emergency Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York.
Farnia NaeemMedical College, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York.
Eddie IrizarryDepartment of Emergency Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York.
Andrew ChertoffDepartment of Emergency Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York.
Michael McGregorDepartment of Emergency Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York.
Polly E BijurDepartment of Emergency Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York.
E John GallagherDepartment of Emergency Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York.
Albert Einstein College of Medicine · US

Funding

CTSA Administrative Supplement for Informatics Core: A novel AI/ML system to predict respiratory failure and ARDS in Covid-19 patientsUL1TR002556 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, KIM, MIMI Y · 2018 to 2022
$26.7M
Core-010UL1TR001073 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, SHAMOON, HARRY · 2013 to 2017
$21.3M
NCATS NIH HHS UL1 TR001073NCATS NIH HHS UL1 TR002556
6 · The paper itself

Abstract

backgroundAcute pain can transition to chronic pain, a potentially debilitating illness.

objectiveWe determined how often acute pain transitions to chronic pain among patients in the emergency department (ED) and whether persistent pain 1 week after the ED visit was associated with chronic pain.

methodsAn observational cohort study conducted in two EDs. We included adults with acute pain (≤10 days) if an oral opioid was prescribed. Exclusion criteria were recent opioid use and use of any analgesics regularly prior to onset of the pain. Research associates interviewed patients during the ED visit and 1 week and 6 months later. The primary outcome, chronic pain, was defined as pain on > 50% of days since ED discharge. We constructed logistic regression models to evaluate the association between persistent pain 1 week after an ED visit and chronic pain, while adjusting for demographic and treatment variables.

resultsDuring a 9-month period, we approached 733 patients for participation and enrolled 484; 450 of 484 (93%) provided 1-week outcomes data and 410 of 484 (85%) provided 6-month outcomes data. One week after the ED visit, 348 of 453 (77%; 95% confidence interval [CI] 73-80%) patients reported pain in the affected area. New-onset chronic pain at 6 months was reported by 110 of 408 (27%; 95% CI 23-31%) patients. Presence of pain 1 week after ED visit was associated with chronic pain (odds ratio 3.6; 95% CI 1.6-8.5).

conclusionsAbout one-quarter of ED patients with acute pain transition to chronic pain within 6 months. Persistence of pain 1 week after the ED visit can identify patients at risk of transition.

Indexed as

Acute PainChronic PainAdultCohort StudiesEmergency Service, HospitalHumansProspective Studiesacute painchronic paintransition

Identifiers

PMID32919839
PMCPMC7736251
OpenAlexW3083959995

What OpenQuestion holds

Textmetadata
LicenceTDM
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.