Evidence map›Paper›PMID 38197852›Full record

ArticleJournal of palliative medicine2024

Clinician Perspectives on Virtual Specialty Palliative Care for Patients With Advanced Illnesses.

Tamar Klaiman, Jenna Steckel, Caleb Hearn, Amaya Diana, William J Ferrell, Ezekiel J Emanuel, Amol S Navathe, Ravi B Parikh

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Journal of palliative medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

8 authors at 2 institutions in 1 country.

Tamar KlaimanDepartment of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Jenna SteckelDepartment of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Caleb HearnDepartment of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Amaya DianaDepartment of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
William J FerrellDepartment of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Ezekiel J EmanuelDepartment of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Amol S NavatheDepartment of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Ravi B ParikhDepartment of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0003-2692-6306
University of Pennsylvania · USPhiladelphia VA Medical Center · US

Funding

Human-Machine Collaborations to Improve Prognosis and Clinical Decision-Making in Advanced CancerK08CA263541 · NCI · UNIVERSITY OF PENNSYLVANIA · PI PARIKH, RAVI BHARAT · 2021 to 2025
$1.2M
NCI NIH HHS K08 CA263541
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Palliative CareQualitative ResearchAdultAttitude of Health PersonnelFemaleHealth Services AccessibilityHumansMaleMiddle AgedReferral and ConsultationTelemedicineUnited Statesautomated referralspalliative careserious illnesstelemedicinevirtual care

Identifiers

PMID38197852
PMCPMC11238843
OpenAlexW4390704801

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.