Evidence map›Paper›PMID 36655278›Full record

ArticleThe British journal of surgery2023

Predicting early extrahepatic recurrence after local treatment of colorectal liver metastases.

G E Wensink, Karen Bolhuis, Marloes A G Elferink, Remond J A Fijneman, Onno Kranenburg, Inne H M Borel Rinkes, Miriam Koopman, Rutger-Jan Swijnenburg, Geraldine R Vink, Jeroen Hagendoorn and 3 more

Open access · hybridAbstract read
In one paragraph

Article in The British journal of surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

9 citing papers in PubMed, 31 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. 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

13 authors at 4 institutions in 1 country.

G E WensinkDepartment of Medical Oncology, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands.ORCID 0000-0002-4103-5811
Karen BolhuisDepartment of Medical Oncology, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands.
Marloes A G ElferinkDepartment of Research and Development, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, the Netherlands.
Remond J A FijnemanDepartment of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
Onno KranenburgDepartment of Surgery, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands.
Inne H M Borel RinkesDepartment of Surgery, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands.
Miriam KoopmanDepartment of Medical Oncology, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands.ORCID 0000-0003-1550-1978
Rutger-Jan SwijnenburgDepartment of Surgery, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands.
Geraldine R VinkDepartment of Medical Oncology, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands.
Jeroen HagendoornDepartment of Surgery, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands.
Cornelis J A PuntDepartment of Epidemiology, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands.
Jeanine M L RoodhartDepartment of Medical Oncology, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands.
Sjoerd G EliasDepartment of Epidemiology, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands.
Utrecht University · NLThe Netherlands Cancer Institute · NLAmsterdam University Medical Centers · NLNetherlands Comprehensive Cancer Organisation · NL

Funding

Sacha Swarttouw-Hijmans Fund
6 · The paper itself

Abstract

backgroundPatients who develop early extrahepatic recurrence (EHR) may not benefit from local treatment of colorectal liver metastases (CRLMs). This study aimed to develop a prediction model for early EHR after local treatment of CRLMs using a national data set.

methodsA Cox regression prediction model for EHR was developed and validated internally using data on patients who had local treatment for CRLMs with curative intent. Performance assessment included calibration, discrimination, net benefit, and generalizability by internal-external cross-validation. The prognostic relevance of early EHR (within 6 months) was evaluated by landmark analysis.

resultsDuring a median follow-up of 35 months, 557 of the 1077 patients had EHR and 249 died. Median overall survival was 19.5 (95 per cent c.i. 15.6 to 23.0) months in patients with early EHR after CRLM treatment, compared with not reached (45.3 months to not reached) in patients without an early EHR. The EHR prediction model included side and stage of the primary tumour, RAS/BRAFV600E mutational status, and number and size of CRLMs. The range of 6-month EHR predictions was 5.9-56.0 (i.q.r. 12.9-22.0) per cent. The model demonstrated good calibration and discrimination. The C-index through 6 and 12 months was 0.663 (95 per cent c.i. 0.624 to 0.702) and 0.661 (0.632 to 0.689) respectively. The observed 6-month EHR risk was 6.5 per cent for patients in the lowest quartile of predicted risk compared with 32.0 per cent in the highest quartile.

conclusionEarly EHR after local treatment of CRLMs can be predicted.

Indexed as

Colorectal NeoplasmsLiver NeoplasmsHepatectomyHumansNeoplasm Recurrence, LocalPrognosisRetrospective Studies

Identifiers

PMID36655278
PMCPMC10364507
OpenAlexW4317402241

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.