Evidence map›Paper›PMID 38054376›Full record

ArticleAnnals of surgery2024

Surgical Margin of Resected Colorectal Liver Metastases: How Accurate Is Surgeon Prediction?

Sarah M McIntyre, Kevin C Soares, Joanne F Chou, Francesco D'Amico, Paul J Shin, Mithat Gönen, Jinru Shia, Vinod P Balachandran, Alice C Wei, T Peter Kingham and 3 more

Abstract read
In one paragraph

Article in Annals of surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. Comment on "Surgical Margin of Resected Colorectal Liver Metastases: How Accurate Is Surgeon Prediction?"Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Sarah M McIntyreHepatopancreatobiliary Service, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY.
Kevin C SoaresHepatopancreatobiliary Service, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY.
Joanne F ChouDepartment of Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY.
Francesco D'AmicoDepartment of Surgical, Oncological, and Gastroenterological Sciences (DiSCOG), University of Padova, Padua, Italy.
Paul J ShinHepatopancreatobiliary Service, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY.
Mithat GönenDepartment of Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY.
Jinru ShiaDepartment of Pathology, Memorial Sloan-Kettering Cancer Center, New York, NY.
Vinod P BalachandranHepatopancreatobiliary Service, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY.
Alice C WeiHepatopancreatobiliary Service, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY.
T Peter KinghamHepatopancreatobiliary Service, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY.
Jeffrey A DrebinHepatopancreatobiliary Service, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY.
William R JarnaginHepatopancreatobiliary Service, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY.
Michael I D'AngelicaHepatopancreatobiliary Service, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

objectiveThe aim of this study was to describe the surgeon's ability to accurately predict the margin following resection of colorectal liver metastases (CRLMs).

backgroundThe decision to resect CRLM is based on the surgeon's ability to predict tumor-free resection margins. However, to date, no study has evaluated the accuracy of surgeon margin prediction.

methodsIn this single-institution prospective study, the operating attending and fellow independently completed a preoperative and postoperative questionnaire describing their expected resection margin in 100 consecutive cases (200 assessments) of CRLM resections. In cases with multiple metastases, the closest margin was assessed as the margin of interest for the primary outcome. Surgeon assessments were compared with the gold-standard histopathologic assessment.

resultsAfter excluding aborted cases, 190 preoperative and 190 postoperative assessments from 95 cases were included in the analysis. The pathologic margin was noted to be wide (≥1 cm), 1 mm to 1 cm, narrow (<1 mm), and positive in 28 (29.5%), 55 (57.9%), 5 (5.3%), and 7 (7.4%) cases, respectively. The 88 cases with negative margins were all predicted to be negative. None of the cases with positive margins were predicted to be positive. Ninety-one (48%) preoperative and 104 (55%) postoperative predictions were accurate. The sensitivity of predicting a margin <1 mm was 8.3% preoperatively and 16.7% postoperatively. The positive predictive value for preoperative and postoperative predictions of margin <1 mm was 18.2% and 26.7%, respectively.

conclusionsSurgeons are inaccurate at predicting positive and close surgical margins following resection of CRLM. A predicted close margin should not necessarily preclude resection.

Indexed as

Colorectal NeoplasmsHepatectomyLiver NeoplasmsMargins of ExcisionAdultAgedAged, 80 and overClinical CompetenceFemaleHumansMaleMiddle AgedProspective StudiesSurgeonsSurveys and Questionnaires

Identifiers

PMID38054376
PMCPMC11153333

What OpenQuestion holds

Textmetadata
LicenceTDM
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.