Evidence map›Paper›PMID 32179616›Full record

ArticleJournal of the American Board of Family Medicine : JABFM

Prognostic Indices for Advance Care Planning in Primary Care: A Scoping Review.

Peter Kim, Jeanette M Daly, Maresi A Berry-Stoelzle, Megan E Schmidt, LeAnn C Michaels, David A Dorr, Barcey T Levy

Abstract readScoping Review
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the American Board of Family Medicine : JABFM. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

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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

7 authors.

Peter KimFrom the Department of Family Medicine, University of Iowa Carver College of Medicine, Iowa City, IA (PK, JMD, MAB-S, MES, BTL); Department of Epidemiology, University of Iowa College of Public Health, Iowa City, IA (BTL); Oregon Rural Practice-based Research Network, Oregon Health & Science University, Portland, OR (LCM); Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR (DAD).
Jeanette M DalyFrom the Department of Family Medicine, University of Iowa Carver College of Medicine, Iowa City, IA (PK, JMD, MAB-S, MES, BTL); Department of Epidemiology, University of Iowa College of Public Health, Iowa City, IA (BTL); Oregon Rural Practice-based Research Network, Oregon Health & Science University, Portland, OR (LCM); Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR (DAD).
Maresi A Berry-StoelzleFrom the Department of Family Medicine, University of Iowa Carver College of Medicine, Iowa City, IA (PK, JMD, MAB-S, MES, BTL); Department of Epidemiology, University of Iowa College of Public Health, Iowa City, IA (BTL); Oregon Rural Practice-based Research Network, Oregon Health & Science University, Portland, OR (LCM); Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR (DAD).
Megan E SchmidtFrom the Department of Family Medicine, University of Iowa Carver College of Medicine, Iowa City, IA (PK, JMD, MAB-S, MES, BTL); Department of Epidemiology, University of Iowa College of Public Health, Iowa City, IA (BTL); Oregon Rural Practice-based Research Network, Oregon Health & Science University, Portland, OR (LCM); Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR (DAD).
LeAnn C MichaelsFrom the Department of Family Medicine, University of Iowa Carver College of Medicine, Iowa City, IA (PK, JMD, MAB-S, MES, BTL); Department of Epidemiology, University of Iowa College of Public Health, Iowa City, IA (BTL); Oregon Rural Practice-based Research Network, Oregon Health & Science University, Portland, OR (LCM); Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR (DAD).
David A DorrFrom the Department of Family Medicine, University of Iowa Carver College of Medicine, Iowa City, IA (PK, JMD, MAB-S, MES, BTL); Department of Epidemiology, University of Iowa College of Public Health, Iowa City, IA (BTL); Oregon Rural Practice-based Research Network, Oregon Health & Science University, Portland, OR (LCM); Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR (DAD).
Barcey T LevyFrom the Department of Family Medicine, University of Iowa Carver College of Medicine, Iowa City, IA (PK, JMD, MAB-S, MES, BTL); Department of Epidemiology, University of Iowa College of Public Health, Iowa City, IA (BTL); Oregon Rural Practice-based Research Network, Oregon Health & Science University, Portland, OR (LCM); Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR (DAD). barcey-levy@uiowa.edu.

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Christopher K Laubenthal · 2000 to 2026
$70.0M
UNIVERSITY OF IOWA CTSA FOR PEDIATRIC RESEARCHUL1RR024979 · NCRR · UNIVERSITY OF IOWA · PI ROSENTHAL, GARY E · 2007 to 2011
$31.8M
The University of Iowa Clinical and Translational Science AwardUL1TR002537 · NCATS · UNIVERSITY OF IOWA · PI HANSEN, MARLAN R, WINOKUR, PATRICIA · 2018 to 2022
$20.0M
NCATS NIH HHS UL1 TR002537NCI NIH HHS P30 CA086862NCRR NIH HHS UL1 RR024979
6 · The paper itself

Abstract

backgroundPatient identification is an important step for advance care planning (ACP) discussions.

objectivesWe conducted a scoping review to identify prognostic indices potentially useful for initiating ACP.

methodsWe included studies that developed and/or validated a multivariable prognostic index for all-cause mortality between 6 months and 5 years in community-dwelling adults. PubMed was searched in October 2018 for articles meeting our search criteria. If a systematic review was identified from the search, we checked for additional eligible articles in its references. We abstracted data on population studied, discrimination, calibration, where to find the index, and variables included. Each index was further assessed for clinical usability.

resultsWe identified 18 articles with a total of 17 unique prognostic indices after screening 9154 titles. The majority of indices (88%) had c-statistics greater than or equal to 0.70. Only 1 index was externally validated. Ten indices, 8 developed in the United States and 2 in the United Kingdom, were considered clinically usable.

conclusionOf the 17 unique prognostic indices, 10 may be useful for implementation in the primary care setting to identify patients who may benefit from ACP discussions. An index classified as "clinically usable" may not be easy to use because of a large number of variables that are not routinely collected and the need to program the index into the electronic medical record.

Indexed as

Advance Care PlanningAdultElectronic Health RecordsHumansPrimary Health CarePrognosisUnited KingdomAdvance Care PlanningElectronic Health RecordsIndependent LivingPrimary Health CarePrognosis

Identifiers

PMID32179616
PMCPMC7772823

What OpenQuestion holds

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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.