Evidence map›Paper›PMID 35947376›Full record

ArticleJAMA surgery2022

Quantifying Frailty Requires a Conceptual Model Before a Statistical Model.

Katherine M Reitz, Shipra Arya, Daniel E Hall

Abstract readComment
PubMed Full text at PMC Publisher
In one paragraph

Article in JAMA surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Katherine M ReitzDivision of Vascular Surgery, Stanford University School of Medicine, Stanford, California.
Shipra AryaDivision of Vascular Surgery, Stanford University School of Medicine, Stanford, California.
Daniel E HallDepartment of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania.

Funding

Vascular Surgery Research Training (VascTrain) ProgramT32HL098036 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Edith Tzeng · 2010 to 2026
$7.2M
Harnessing the power of CTSA-CDRN data networks: Using social determinants of health, frailty and functional status to identify at-risk patients and improve risk adjustmentU01TR002393 · NCATS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI SHIREMAN, PAULA K · 2018 to 2021
$3.1M
CSRD VA I01 CX002150HSRD VA I01 HX003095HSRD VA I01 HX003215HSRD VA I01 HX003322HSRD VA I50 HX003201NCATS NIH HHS U01 TR002393NHLBI NIH HHS T32 HL098036NIA NIH HHS L30 AG064730
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

FrailtyAgedFrail ElderlyGeriatric AssessmentHumansModels, StatisticalModels, Theoretical

Identifiers

PMID35947376
PMCPMC10074604

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.