Evidence map›Paper›PMID 27443847›Full record

ArticleWorld journal of urology2017

Current impact of age and comorbidity assessment on prostate cancer treatment choice and over/undertreatment risk.

Pierre Lunardi, Guillaume Ploussard, Pascale Grosclaude, Mathieu Roumiguié, Michel Soulié, Jean Baptiste Beauval, Bernard Malavaud

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Article in World journal of urology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  12. Defining Undertreatment and Overtreatment in Older Adults With Cancer: A Scoping Literature Review.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Pierre LunardiUniversity Hospital of Rangueil, Toulouse, France. pierrelunardi@hotmail.fr.
Guillaume PloussardUrology Department, Saint Jean Languedoc Hospital, Toulouse, France.
Pascale GrosclaudeNational Cancer Registry, INSERM, Toulouse, France.
Mathieu RoumiguiéUniversity Hospital of Rangueil, Toulouse, France.
Michel SouliéUniversity Hospital of Rangueil, Toulouse, France.
Jean Baptiste BeauvalUniversity Hospital of Rangueil, Toulouse, France.
Bernard MalavaudUniversity Hospital of Rangueil, Toulouse, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe evaluated the influence of age and comorbidity (Charlson score assessment) on localized prostate cancer therapeutic management and the risk of prostate cancer over- and under-treatment.

methodsAmong the 2571 prostate cancer cases diagnosed in 2011, a subset of 633 patients was randomly selected from the prospectively accrued cohort of the Regional Cancer Registry, among the 17 participating institutions. Treatment distributions were examined for patients at each individual prostate cancer risk, age and comorbidity level and analyzed by multivariate logistic regression analysis.

resultsTreatments with curative intent were observed less often when age increased (p < 0.001). We found no impact of the Charlson score on the selection of a curative treatment [HR 0.89, 95 % CI (0.70-1.15)]. A 20 % overtreatment rate was reported in low-risk prostate cancer patients. For younger patients (65-75 years) with high comorbidity score, a 14 % overtreatment rate was observed. Conversely, a 16 % undertreatment rate was reported in older patients >75 years without any significant comorbidity.

conclusionA better consideration of comorbidities could significantly reduce overtreatment in patients <75 year and promote curative treatment in aggressive prostate cancer for older patients without any significant comorbidity.

Indexed as

Patient SelectionRegistriesAdultAgedAged, 80 and overAge FactorsClinical Decision-MakingComorbidityHumansLogistic ModelsMaleMedical OveruseMiddle AgedMultivariate AnalysisNeoplasm StagingProportional Hazards ModelsCharlson scoreComorbidityOvertreatmentProstate cancerUndertreatment

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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.