Evidence map›Paper›PMID 35648341›Full record

ReviewCurrent oncology reports2022

All-Cause Mortality Risk Prediction in Older Adults with Cancer: Practical Approaches and Limitations.

Andrea Perez-de-Acha, Sophie Pilleron, Enrique Soto-Perez-de-Celis

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current oncology reports, 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
0.3field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

3 authors at 2 institutions in 2 countries.

Andrea Perez-de-AchaDepartment of Geriatrics, Instituto Nacional de Ciencias Medicas Y Nutricion Salvador Zubiran, Vasco de Quiroga 15, Colonia Belisario Dominguez Sección XVI, Tlalpan, Ciudad de Mexico, Mexico.
Sophie PilleronNuffield Department of Population Health, Big Data Institute, University of Oxford, Oxford, UK.
Enrique Soto-Perez-de-CelisDepartment of Geriatrics, Instituto Nacional de Ciencias Medicas Y Nutricion Salvador Zubiran, Vasco de Quiroga 15, Colonia Belisario Dominguez Sección XVI, Tlalpan, Ciudad de Mexico, Mexico. enrique.sotop@incmnsz.mx.ORCID 0000-0002-7301-2163
Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán · MXUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThe prediction of all-cause mortality is an important component of shared decision-making across the cancer care continuum, particularly in older adults with limited life expectancy, for whom there is an increased risk of over-diagnosis and treatment. RECENT

findingsCurrently, several international societies recommend the use of all-cause mortality risk prediction tools when making decisions regarding screening and treatment in geriatric oncology. Here, we review some practical aspects of the utilization of those tools and dissect the characteristics of those most employed in geriatric oncology, highlighting both their advantages and their limitations.

Indexed as

NeoplasmsAgedDecision MakingDecision Making, SharedGeriatric AssessmentHumansLife ExpectancyMass ScreeningCancerClinical decision rulesDecision-makingLife expectancyMortalityOlder adultsPrognosis

Identifiers

PMID35648341
OpenAlexW4281749228

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.