Evidence map›Paper›PMID 37838080›Full record

ArticleJournal of pain and symptom management2024

The "Surprise Question" for Prognostication in People With Parkinson's Disease and Related Disorders.

Ananth Mahes, Zachary A Macchi, Christine S Martin, Maya Katz, Nicholas B Galifianakis, Steven Z Pantilat, Jean S Kutner, Stefan Sillau, Benzi M Kluger

Open access · bronzeAbstract read
In one paragraph

Article in Journal of pain and symptom management, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 22% 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, 2 syntheses or guidelines pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
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

9 authors at 4 institutions in 1 country.

Ananth MahesWeill Institute for Neurosciences (A.M., N.B.G.), University of California San Francisco, San Francisco, California. Electronic address: ananth.mahes@ucsf.edu.
Zachary A MacchiDepartment of Neurology (Z.A.M., C.S.M., S.S.), University of Colorado School of Medicine, Aurora, Colorado.
Christine S MartinDepartment of Neurology (Z.A.M., C.S.M., S.S.), University of Colorado School of Medicine, Aurora, Colorado.
Maya KatzDepartment of Neurology and Neurological Sciences (M.K.), Stanford University School of Medicine, Palo Alto, California.
Nicholas B GalifianakisWeill Institute for Neurosciences (A.M., N.B.G.), University of California San Francisco, San Francisco, California.
Steven Z PantilatDivision of Palliative Medicine, Department of Medicine (S.Z.P.), University of California, San Francisco, California.
Jean S KutnerDivision of General Internal Medicine, Department of Medicine (J.S.K.), University of Colorado School of Medicine, Aurora, Colorado.
Stefan SillauDepartment of Neurology (Z.A.M., C.S.M., S.S.), University of Colorado School of Medicine, Aurora, Colorado.
Benzi M KlugerDepartments of Neurology and Medicine (B.M.K.), University of Rochester Medical Center, Rochester, New York.
University of Colorado Denver · USUniversity of California, San Francisco · USStanford University · USUniversity of Rochester Medical Center · US

Funding

More than a Movement Disorder: Applying Palliative Care to Parkinson's Disease and Lewy Body DementiasR01NR016037 · NINR · UNIVERSITY OF ROCHESTER · PI KLUGER, BENZI M · 2016 to 2025
$6.5M
Multidisciplinary Research Training in Palliative CareT32AG044296 · NIA · UNIVERSITY OF COLORADO DENVER · PI STACY M FISCHER, JEAN S KUTNER · 2014 to 2026
$3.3M
Advancing Palliative Care for Older Adults Affected by Neurodegenerative Disease: Parkinsons disease, Alzheimers disease and Related DementiasK02AG062745 · NIA · UNIVERSITY OF ROCHESTER · PI KLUGER, BENZI M · 2020 to 2024
$711k
NIA NIH HHS K02 AG062745NIA NIH HHS T32 AG044296NINR NIH HHS R01 NR016037
6 · The paper itself

Abstract

contextParkinson's disease and related disorders (PDRD) are fatal neurodegenerative disorders characterized by a fluctuating course that can complicate prognostication. The "surprise question" (SQ: "Would you be surprised if your patient died in the next year?") has been used to identify patients with limited prognosis but has not been assessed in PDRD.

objectivesTo determine the validity of the SQ in predicting 12-month mortality in PDRD.

methodsData was analyzed from 301 patients and 34 community-based neurologists who were participating in a clinical trial of outpatient palliative care for patients with PDRD. Clinicians answered the SQ for each patient at baseline. Descriptive statistics at baseline, chi-square tests of independence, 2 × 2 and 2 × 3 cross tables were used. Survival analysis compared SQ responses using Kaplan-Meier curves. Risk estimate analyses identified patient characteristics associated with clinicians' responses.

resultsMortality was 10.3% (N = 31) at 1 year. The sensitivity and specificity of the SQ was 80.7% and 58.9%, respectively with AUC = 0.70, positive predictive value of 18.4% and negative predictive value of 96.4%. Older age, atypical parkinsonism, and dementia were associated with responding "no" to the SQ.

conclusionThe SQ is sensitive to 12-month mortality in PDRD, with a high negative predictive value. The SQ may be useful for identifying patients less likely to die within a year and may be useful for identifying patients with palliative care needs outside of end-of-life care. This latter use may assist in mobilizing early and timely referral to specialist palliative care.

Indexed as

Parkinson DiseaseTerminal CareHumansPalliative CarePrognosisProspective StudiesRisk Assessmentpalliative careParkinson's diseaseprognosticationsurprise question

Identifiers

PMID37838080
PMCPMC11068019
OpenAlexW4387582157

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.