Evidence map›Paper›PMID 38959454›Full record

Observational studyDiseases of the colon and rectum2024

The Learning Curve for Robotic Lateral Pelvic Lymph Node Dissection for Rectal Cancer: A View From the West.

Annamaria Agnes, Oliver Peacock, Naveen Manisundaram, Youngwan Kim, Nir Stanietzky, Raghunandan Vikram, Brian K Bednarski, Tsuyoshi Konishi, Y Nancy You, George J Chang

Abstract readObservational StudyVideo-Audio Media
In one paragraph

Observational study in Diseases of the colon and rectum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. 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.

Annamaria AgnesDepartment of Colon and Rectal Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Oliver PeacockDepartment of Colon and Rectal Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Naveen ManisundaramDepartment of Colon and Rectal Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0003-2532-3247
Youngwan KimDepartment of Colon and Rectal Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Nir StanietzkyDepartment of Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Raghunandan VikramDepartment of Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Brian K BednarskiDepartment of Colon and Rectal Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Tsuyoshi KonishiDepartment of Colon and Rectal Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Y Nancy YouDepartment of Colon and Rectal Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas.
George J ChangDepartment of Colon and Rectal Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-9758-5361

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

backgroundLateral pelvic lymph node dissection is performed for selected patients with rectal cancer with persistent lateral nodal disease after neoadjuvant therapy. This technique has been slow to be adopted in the West because of concerns regarding technical difficulty. This is the first report on the learning curve for lateral pelvic lymph node dissection in the United States or Europe.

objectiveThis study aimed to analyze the learning curve associated with robotic lateral pelvic lymph node dissection.

designRetrospective observational cohort.

settingTertiary academic cancer center. PATIENTS: Consecutive patients from 2012 to 2021.

interventionAll patients underwent robotic lateral pelvic lymph node dissection.

main outcome measuresThe primary end points were the learning curves for the maximum number of nodes retrieved and urinary retention, which was evaluated with simple cumulative sum and 2-sided Bernoulli cumulative sum charts.

resultsFifty-four procedures were included. A single-surgeon learning curve (n = 35) and an institutional learning curve are presented in the analysis. In the single-surgeon learning curve, a turning point marking the end of a learning phase was detected at the 12th procedure for the number of retrieved nodes and at the 20th procedure for urinary retention. In the institutional learning curve analysis, 2 turning points were identified at the 13th procedure, indicating progressive improvements for the number of retrieved nodes, and at the 27th procedure for urinary retention. No sustained alarm signals were detected at any time point. LIMITATIONS: The retrospective nature, small sample size, and the referral center nature of the reporting institution may limit generalizability.

conclusionsIn a setting of institutional experience with robotic colorectal surgery, including beyond total mesorectal excision resections, the learning curve for robotic lateral pelvic lymph node dissection is acceptably short. Our results demonstrate the feasibility of the acquisition of this technique in a controlled setting, with sufficient case volume and proctoring to optimize the learning curve. See Video Abstract. LA CURVA DE APRENDIZAJE DE LA DISECCIN ROBTICA DE LOS GANGLIOS LINFTICOS PLVICOS LATERALES EN EL CNCER DE RECTO UNA VISIN DESDE OCCIDENTE: ANTECEDENTES:La disección lateral de los ganglios linfáticos pélvicos se realiza en pacientes seleccionados con cáncer de recto con enfermedad ganglionar lateral persistente tras el tratamiento neoadyuvante. La adopción de esta técnica en Occidente ha sido lenta debido a la preocupación por su dificultad técnica. Éste es el primer informe sobre la curva de aprendizaje de la disección de los ganglios linfáticos pélvicos laterales en EE.UU. o Europa.OBJETIVO:El objetivo de este estudio fue analizar la curva de aprendizaje asociada a la disección robótica de los ganglios linfáticos pélvicos laterales.DISEÑO:Cohorte observacional retrospectiva.LUGAR:Centro oncológico académico terciario.PACIENTES:Pacientes consecutivos desde 2012 al 2021.INTERVENCIÓN:Todos los pacientes fueron sometieron a disección robótica de ganglios linfáticos pélvicos laterales.PRINCIPALES MEDIDAS DE RESULTADO:Los criterios de valoración primarios fueron las curvas de aprendizaje tomando en cuenta el mayor número de ganglios recuperados y la retención urinaria que fueron evaluados con gráficos de suma acumulativa simple y de suma acumulativa de Bernoulli de dos caras.RESULTADOS:Fueron incluidos 54 procedimientos. En el análisis se presentan una curva de aprendizaje de un solo cirujano (n = 35) y una curva de aprendizaje institucional. En la curva de aprendizaje de un solo cirujano, se detectó un punto de inflexión que marcaba el final de una fase de aprendizaje en el duodécimo procedimiento para el número de ganglios extraídos y en el vigésimo para la retención urinaria. En el análisis de la curva de aprendizaje institucional, se identificaron dos puntos de inflexión en las intervenciones 13.ª y 26.ª, que indicaron mejoras progresivas en el número de ganglios extraídos, y en la 27.ª en la retención urinaria. No se detectaron señales de alarma sostenidas en ningún momento.LIMITACIONES:La naturaleza retrospectiva, el pequeño tamaño de la muestra y la naturaleza de centro de referencia de la institución informante que pueden limitar la capacidad de generalizarse.CONCLUSIONES:En un entorno de experiencia institucional con cirugía robótica colorrectal incluyendo más allá de las resecciones TME, la curva de aprendizaje para la disección robótica de ganglios linfáticos pélvicos laterales es aceptablemente corta. Nuestros resultados demuestran la viabilidad de la adquisición de esta técnica en un entorno controlado, con un volumen de casos suficiente y una supervisión que puede optimizar la curva de aprendizaje. (Traducción-Dr. Osvaldo Gauto ).

Indexed as

Learning CurveLymph Node ExcisionRectal NeoplasmsRobotic Surgical ProceduresAgedEuropeFemaleHumansLymphatic MetastasisLymph NodesMaleMiddle AgedPelvisRetrospective StudiesUnited States

Identifiers

PMID38959454
PMCPMC12324685

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.