Evidence map›Paper›PMID 27006079›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2016

Four Distinct Health Profiles in Older Patients With Cancer: Latent Class Analysis of the Prospective ELCAPA Cohort.

Emilie Ferrat, Etienne Audureau, Elena Paillaud, Evelyne Liuu, Christophe Tournigand, Jean-Leon Lagrange, Florence Canoui-Poitrine, Philippe Caillet, Sylvie Bastuji-Garin, ELCAPA Study Group

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  6. Update on the management of elderly patients with colorectal cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Article
  7. Article
  8. Heterogeneity of vulnerability and taste changes in older cancer patients undergoing chemotherapy: a latent class analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Article
  9. Expert consensus to optimize the treatment of elderly patients with luminal metastatic breast cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2022
    Review
  10. Article
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  16. National Survey Among Radiation Oncology Residents Related to Their Needs in Geriatric Oncology.Journal of cancer education : the official journal of the American Association for Cancer Education · 2019
    Article
  17. Article
  18. Performance of Four Frailty Classifications in Older Patients With Cancer: Prospective Elderly Cancer Patients Cohort Study.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2017
    Article
  19. 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

10 authors.

Emilie FerratClinical Epidemiology and Ageing (CEpiA) Unit EA 7376, Université Paris Est (UPEC), A-TVB DHU, IMRB, F-94010 Créteil, France. emilie.ferrat@u-pec.fr.
Etienne AudureauClinical Epidemiology and Ageing (CEpiA) Unit EA 7376, Université Paris Est (UPEC), A-TVB DHU, IMRB, F-94010 Créteil, France.
Elena PaillaudClinical Epidemiology and Ageing (CEpiA) Unit EA 7376, Université Paris Est (UPEC), A-TVB DHU, IMRB, F-94010 Créteil, France.
Evelyne LiuuUnité de coordination en oncogériatrie (UCOG), AP-HP, Hôpital Henri-Mondor, F-94010 Créteil, France.
Christophe TournigandDepartment of Medical Oncology, AP-HP, Hôpital Henri-Mondor, F-94010 Créteil, France.
Jean-Leon LagrangeDepartment of Radiation Oncology, AP-HP, Hôpital Henri-Mondor, F-94010 Créteil, France.
Florence Canoui-PoitrineClinical Epidemiology and Ageing (CEpiA) Unit EA 7376, Université Paris Est (UPEC), A-TVB DHU, IMRB, F-94010 Créteil, France.
Philippe CailletClinical Epidemiology and Ageing (CEpiA) Unit EA 7376, Université Paris Est (UPEC), A-TVB DHU, IMRB, F-94010 Créteil, France.
Sylvie Bastuji-GarinClinical Epidemiology and Ageing (CEpiA) Unit EA 7376, Université Paris Est (UPEC), A-TVB DHU, IMRB, F-94010 Créteil, France.
ELCAPA Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral studies have evaluated the independent prognostic value of impairments in single geriatric-assessment (GA) components in elderly cancer patients. None identified homogeneous subgroups. Our aims were to identify such subgroups based on combinations of GA components and to assess their associations with treatment decisions, admission, and death.

methodsWe prospectively included 1,021 patients aged ≥70 years who had solid or hematologic malignancies and who underwent a GA in one of two French teaching hospitals. Two geriatricians independently selected candidate GA parameters for latent class analysis, which was then performed on the 821 cases without missing data. Age, gender, tumor site, metastatic status, and inpatient versus outpatient status were used as active covariates and predictors of class membership. Outcomes were cancer treatment decisions, overall 1-year mortality, and 6-month unscheduled admissions. Sensitivity analyses were performed on the overall population of 1,021 patients and on 375 newly enrolled patients.

resultsWe identified four classes: relatively healthy (LC1, 28%), malnourished (LC2, 36%), cognitive and mood impaired (LC3, 15%), and globally impaired (LC4, 21%). Tumor site, metastatic status, age, and in/outpatient status independently predicted class membership (p < .001). In adjusted pairwise comparisons, compared to LC1, the three other LCs were associated with higher risks of palliative treatment, death, and unscheduled admission (p ≤ .05). LC4 was associated with 1-year mortality and palliative treatment compared to LC2 and LC3 (p ≤ .05).

conclusionWe identified four health profiles that may help physicians select cancer treatments and geriatric interventions. Researchers may find these profiles useful for stratifying patients in clinical trials.

Indexed as

AgedDecision MakingFemaleFranceGeriatric AssessmentHospitalizationHumansMaleNeoplasmsPrognosisProspective StudiesRisk AssessmentCancerEpidemiologyFrailtyGeriatric assessmentOutcomes

Identifiers

PMID27006079
PMCPMC5106853

What OpenQuestion holds

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Registered trials

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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.