Evidence map›Paper›PMID 36515671›Full record

ArticleBJS open2022

Nomogram to predict disease recurrence in patients with locally advanced rectal cancer undergoing rectal surgery after neoadjuvant therapy: retrospective cohort study.

Jacques-Emmanuel Saadoun, Hélène Meillat, Christophe Zemmour, Serge Brunelle, Alexandra Lapeyre, Cécile de Chaisemartin, Bernard Lelong

Open access · goldAbstract read
In one paragraph

Article in BJS open, 2022. 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
0.6field-weighted citation impact, top 29% 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

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, 9 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. 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

7 authors at 1 institution in 1 country.

Jacques-Emmanuel SaadounDepartment of Digestive and Surgical Oncology, Institut Paoli-Calmettes, Marseille, France.
Hélène MeillatDepartment of Digestive and Surgical Oncology, Institut Paoli-Calmettes, Marseille, France.
Christophe ZemmourDepartment of Clinical Research and Investigation, Biostatistics and Methodology Unit, Paoli-Calmettes Institute, Marseille, France.
Serge BrunelleDepartment of Radiology, Institut Paoli-Calmettes, Marseille, France.
Alexandra LapeyreDepartment of Medical Oncology, Institut Paoli-Calmettes, Marseille, France.
Cécile de ChaisemartinDepartment of Digestive and Surgical Oncology, Institut Paoli-Calmettes, Marseille, France.
Bernard LelongDepartment of Digestive and Surgical Oncology, Institut Paoli-Calmettes, Marseille, France.ORCID 0000-0003-1642-2913
Institut Paoli-Calmettes · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPrognostic models can be used for predicting survival outcomes and guiding patient management. TNM staging alone is insufficient for predicting recurrence after chemoradiotherapy (CRT) and surgery for locally advanced rectal cancer. This study aimed to develop a nomogram to better predict cancer recurrence after CRT followed by total mesorectal excision (TME) and tailor postoperative management and follow-up. MATERIALS AND

methodsBetween 2002 and 2019, data were retrospectively collected on patients with rectal adenocarcinoma. Data on sex, age, carcinoembryonic antigen (CEA) level, tumour location, induction chemotherapy, adjuvant chemotherapy, tumour downsizing, perineural invasion, lymphovascular invasion, pathological stage, resection margins (R0 versus R1), and pelvic septic complications were analysed. The variables significantly associated with cancer recurrence were used to build a nomogram that was validated in both the training and validation cohorts. Model performance was evaluated by receiver operating characteristic curve and area under the curve (AUC) analyses.

resultsAfter applying exclusion criteria, 634 patients with rectal adenocarcinoma were included in this study. Eight factors (CEA level, adjuvant chemotherapy, tumour downsizing, perineural invasion, lymphovascular invasion, pathological stage, resection margins (R0 versus R1), and pelvic septic complications) were identified as nomogram variables. Our nomogram showed good performance with an AUC of 0.74 and 0.75 in the training and validation cohorts respectively.

conclusionOur nomogram is a simple tool for predicting cancer recurrence in patients with locally advanced rectal cancer after neoadjuvant CRT followed by TME. It provides an individual risk prediction of recurrence to tailor surveillance.

Indexed as

AdenocarcinomaRectal NeoplasmsCarcinoembryonic AntigenHumansMargins of ExcisionNeoadjuvant TherapyNeoplasm Recurrence, LocalNomogramsRetrospective StudiesCarcinoembryonic Antigen

Identifiers

PMID36515671
PMCPMC9749481
OpenAlexW4311463151

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.