Evidence map›Paper›PMID 33261002›Full record

ArticleCancers2020

Multimodal Treatment in Metastatic Colorectal Cancer (mCRC) Improves Outcomes-The University College London Hospital (UCLH) Experience.

Nalinie Joharatnam-Hogan, William Wilson, Kai Keen Shiu, Giuseppe Kito Fusai, Brian Davidson, Daniel Hochhauser, John Bridgewater, Khurum Khan

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 30% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Colorectal cancer: Recent advances in management and treatment.World journal of clinical oncology · 2024
    Review
  5. Review
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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

8 authors at 3 institutions in 1 country.

Nalinie Joharatnam-HoganDepartment of Gastrointestinal Oncology, University College London Hospital NHS Foundation Trust, London NW1 2PG, UK.ORCID 0000-0001-8406-2732
William WilsonDepartment of Statistics, Cancer Research UK and UCL Cancer Trials Centre, London W1T 4TJ, UK.
Kai Keen ShiuDepartment of Gastrointestinal Oncology, University College London Hospital NHS Foundation Trust, London NW1 2PG, UK.
Giuseppe Kito FusaiHPB and Liver Transplant Unit, Royal Free London NHS Foundation Trust, London NW13 1QG, UK.
Brian DavidsonHPB and Liver Transplant Unit, Royal Free London NHS Foundation Trust, London NW13 1QG, UK.
Daniel HochhauserDepartment of Gastrointestinal Oncology, University College London Hospital NHS Foundation Trust, London NW1 2PG, UK.
John BridgewaterDepartment of Gastrointestinal Oncology, University College London Hospital NHS Foundation Trust, London NW1 2PG, UK.
Khurum KhanDepartment of Gastrointestinal Oncology, University College London Hospital NHS Foundation Trust, London NW1 2PG, UK.
University College London Hospitals NHS Foundation Trust · GBRoyal Free London NHS Foundation Trust · GBCancer Research UK · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite notable advances in the management of metastatic colorectal cancer (mCRC) over the last two decades, treatment intent in the vast majority of patients remains palliative due to technically unresectable disease, extensive disease, or co-morbidities precluding major surgery. Up to 30% of individuals with mCRC are considered potentially suitable for primary or metastasis-directed multimodal therapy, including surgical resection, ablative techniques, or stereotactic radiotherapy (RT), with the aim of improving survival outcomes. We reviewed the potential benefits of multimodal therapy on the survival of patients with mCRC treated at the UCLH.

methodsClinical data on baseline characteristics, multimodal treatments, and survival outcomes were retrospectively collected from all patients with mCRC receiving systemic chemotherapy between January 2013 and April 2017. Primary outcome was the impact of multimodal therapy on overall survival, compared to systemic therapy alone, and the effect of different types of multimodal therapy on survival outcome, and was assessed using the Kaplan-Meier approach. All analyses were adjusted for age, gender, and side of primary tumour.

resultsOne-hundred and twenty-five patients with mCRC were treated during the study period (median age: 62 years (range 19-89). The liver was the most frequent metastatic site (78%; 97/125). A total of 52% (65/125) had ≥2 lines of systemic chemotherapy. Of the 125 patients having systemic chemotherapy, 74 (59%) underwent multimodal treatment to the primary tumour or metastasis. Median overall survival (OS) was 25.7 months [95% Confidence Interval (CI) 21.5-29.0], and 3-year survival, 26%. Univariate analysis demonstrated that patients who had additional procedures (surgery/ablation/RT) were significantly less likely to die (Hazard Ratio (HR) 0.18, 95% CI 0.12-0.29,

conclusionMultimodal therapy for metastatic bowel cancer is associated with significant survival benefit. Resection/radical RT of the primary and resection of metastatic disease should be considered to improve survival outcomes following multidisciplinary team (MDT) discussion and individual assessment of fitness.

Indexed as

colorectal cancercolorectal liver metastasesMicrowave ablation (MWA)radiofrequency ablation (RFA)selective internal radiation therapy (SIRT)stereotactic body radiation therapy (SBRT)

Identifiers

PMID33261002
PMCPMC7760146
OpenAlexW3109580710

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.