Evidence map›Paper›PMID 24442607›Full record

ArticleWorld journal of urology2014

External validation of the Heidenreich criteria for patient selection for unilateral or bilateral retroperitoneal lymph node dissection for post-chemotherapy residual masses of testicular cancer.

Cédric Vallier, Pierre-Henri Savoie, Jean-Robert Delpero, Franck Bladou, Gwenaëlle Gravis, Naji Salem, Dominique Rossi, Jochen Walz

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Article in World journal of urology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 31 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Cédric VallierDepartment of Urology, Institut Paoli-Calmettes Cancer Centre, 232, Boulevard Ste. Marguerite, B.P. 156, 13273, Marseille, France.
Pierre-Henri Savoie
Jean-Robert Delpero
Franck Bladou
Gwenaëlle Gravis
Naji Salem
Dominique Rossi
Jochen Walz
Institut Paoli-Calmettes · FRHôpital d'Instruction des Armées Sainte-Anne · FRHôpital Nord · FRJewish General Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo validate the Heidenreich criteria for patient selection for unilateral retroperitoneal lymph node dissection (RPLND) for residual masses after chemotherapy for nonseminomatous germ cell tumor (NSGCT). SUBJECTS/PATIENTS AND

methodsFor validation, the data of 59 patients who underwent RPLND for residual masses of NSGCT were used. Of these patients, 23 (39 %) qualified for a modified RPLND, the others had an indication for a bilateral dissection. Results from histopathology after RPLND and follow-up data for relapse inside or outside the zone of the resection template were considered for validation.

resultsIn the study cohort, median age at time of RPLND was 31 years. The 2-year disease-free survival was 90 and 96 % for the bilateral and the unilateral RPLND patients, respectively. Overall, 8 (14 %) relapses were observed after a median follow-up of 54 month. Of these, 6 were outside of the resection field and 2 were in-field. Of the 23 patients with indication for a modified RPLND, 1 patient relapsed in the contralateral testis and 1 inside the modified RPLND template. No relapse was observed outside the modified RPLND field and inside the untouched contralateral RPLND field. The Heidenreich criteria did therefore not misclassify a single patient.

conclusionThe Heidenreich criteria for the selection of candidates for unilateral RPLND for residual masses after chemotherapy allow a highly reliable selection of patients. The application of the Heidenreich criteria can help to reduce comorbidity and invasiveness of RPLND.

Indexed as

Lymph Node ExcisionPatient SelectionAdultAntineoplastic AgentsCohort StudiesCombined Modality TherapyDisease-Free SurvivalHumansMaleNeoplasm Recurrence, LocalNeoplasm, ResidualNeoplasms, Germ Cell and EmbryonalReproducibility of ResultsRetroperitoneal SpaceTesticular NeoplasmsAntineoplastic Agents

Identifiers

PMID24442607
OpenAlexW1990703793

What OpenQuestion holds

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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.