Evidence map›Paper›PMID 32156833›Full record

ArticleAging2020

Development, validation and clinical impact of a prediction model for 6-month mortality in older cancer patients: the GRADE.

Eurydice Angeli, Kader Chouahnia, Florence Canoui-Poitrine, Boris Duchemann, Thomas Aparicio, Elena Paillaud, Laurent Zelek, Guilhem Bousquet, Frédéric Pamoukdjian

Open access · greenAbstract readValidation Study
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. 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

9 authors at 5 institutions in 1 country.

Eurydice AngeliAPHP, Avicenne Hospital, Department of Medical Oncology, Bobigny F-93000, France.
Kader ChouahniaAPHP, Avicenne Hospital, Department of Medical Oncology, Bobigny F-93000, France.
Florence Canoui-PoitrineAPHP, Henri-Mondor Hospital, Public Health Department, Créteil F-94000, France.
Boris DuchemannAPHP, Avicenne Hospital, Department of Medical Oncology, Bobigny F-93000, France.
Thomas AparicioAPHP, Avicenne Hospital, Department of Gastroenterology, Bobigny F-93000, France.
Elena PaillaudUniversité Paris-Est, UPEC, DHU A-TVB, IMRB- EA 7376 CEpiA (Clinical Epidemiology And Ageing Unit), Créteil F-94000, France.
Laurent ZelekAPHP, Avicenne Hospital, Department of Medical Oncology, Bobigny F-93000, France.
Guilhem BousquetAPHP, Avicenne Hospital, Department of Medical Oncology, Bobigny F-93000, France.
Frédéric PamoukdjianUniversité Paris-Est, UPEC, DHU A-TVB, IMRB- EA 7376 CEpiA (Clinical Epidemiology And Ageing Unit), Créteil F-94000, France.
Hôpital Avicenne · FRInstitut Mondor de Recherche Biomédicale · FRAssistance Publique – Hôpitaux de Paris · FRInserm · FRUniversité Sorbonne Paris Nord · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo develop, validate, and assess the clinical impact of a clinical score to predict a 6-month mortality risk among older cancer patients.

resultsThe mean age was 81.2 ± 6.1 years (women: 54%, various cancers, metastatic cancer: 45%). The score, namely the GRADE, included two geriatric variables (unintentional weight loss, impaired mobility), two oncological variables (cancer site, cancer extension), and exclusively supportive care. Up to a 14% risk of early death, the decision curves suggest that cancer treatment should be instated.

conclusionWe have developed and validated a simple score, easy to implement in daily oncological practice, to predict early death among older cancer patients which could guide oncologists in their treatment decisions.

methods603 outpatients prospectively included in the Physical Frailty in Elderly Cancer patients cohort study. We created a multivariate prediction model by evaluating the strength of the individual components of the Geriatric Assessment regarding risk of death at 6 months. Each component was evaluated by univariate analysis and the significant variables (

Indexed as

Models, TheoreticalAgedAged, 80 and overAge FactorsFemaleGeriatric AssessmentHumansMaleNeoplasmsPrognosisRisk AssessmentSurvival Ratecancerdecision support techniquesgait speedolder adultsprognosis

Identifiers

PMID32156833
PMCPMC7093177
OpenAlexW3011142288

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.