Evidence map›Paper›PMID 33616460›Full record

ArticlePersonalized medicine2021

Avoiding "toxic knowledge": the importance of framing personalized risk information in clinical decision-making.

Kristin M Kostick, J S Blumenthal-Barby

Abstract readEditorial
In one paragraph

Article in Personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. A Call for Behavioral Science in Embedded Bioethics.Perspectives in biology and medicine · 2022
    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

2 authors.

Kristin M KostickCenter for Medical Ethics & Health Policy, Baylor College of Medicine, Houston, TX 77030, USA.ORCID 0000-0003-2510-0174
J S Blumenthal-BarbyCenter for Medical Ethics & Health Policy, Baylor College of Medicine, Houston, TX 77030, USA.

Funding

A multi-site trial to test benefits of adding a personalized risk calculator to an online decision aid for left ventricular assist deviceR01HS027784 · AHRQ · BAYLOR COLLEGE OF MEDICINE · PI BLUMENTHAL-BARBY, JENNIFER · 2020 to 2024
$2.0M
AHRQ HHS R01 HS027784AHRQ HHS R01HS027784
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

CommunicationDecision Support TechniquesClinical Decision-MakingHumansModels, StatisticalPatient ParticipationPrecision MedicineRisk Assessmentclinical decision-makingdecision aidsdecision supportpersonalized riskprecision medicinePrecision Medicine Initiativepreparedness planningquality decision-makingrisk communicationuncertain significance

Identifiers

PMID33616460
PMCPMC8153713

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.