Evidence map›Paper›PMID 35323316›Full record

ArticleCurrent oncology (Toronto, Ont.)2022

Current Perspectives on the Importance of Pathological Features in Prognostication and Guidance of Adjuvant Chemotherapy in Colon Cancer.

Kabytto Chen, Henry Wang, Geoffrey Collins, Emma Hollands, Irene Yuen Jing Law, James Wei Tatt Toh

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Current oncology (Toronto, Ont.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.7field-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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Prediction model of colorectal cancer (CRC) lymph node metastasis based on intestinal bacteria.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    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

6 authors at 2 institutions in 1 country.

Kabytto ChenDiscipline of Surgery, Faculty of Medicine and Health, The University of Sydney, Sydney 2145, Australia.ORCID 0000-0002-7617-8214
Henry WangDiscipline of Surgery, Faculty of Medicine and Health, The University of Sydney, Sydney 2145, Australia.
Geoffrey CollinsDiscipline of Surgery, Faculty of Medicine and Health, The University of Sydney, Sydney 2145, Australia.ORCID 0000-0003-4432-9716
Emma HollandsDiscipline of Surgery, Faculty of Medicine and Health, The University of Sydney, Sydney 2145, Australia.
Irene Yuen Jing LawDivision of Colorectal Surgery, Department of Surgery, Westmead Hospital, Westmead 2145, Australia.
James Wei Tatt TohDiscipline of Surgery, Faculty of Medicine and Health, The University of Sydney, Sydney 2145, Australia.ORCID 0000-0002-0110-2629
The University of Sydney · AUWestmead Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is not a clear consensus on which pathological features and biomarkers are important in guiding prognosis and adjuvant therapy in colon cancer. The Pathology in Colon Cancer, Prognosis and Uptake of Adjuvant Therapy (PiCC UP) Australia and New Zealand questionnaire was distributed to colorectal surgeons, medical oncologists and pathologists after institutional board approval. The aim of this study was to understand current specialist attitudes towards pathological features in the prognostication of colon cancer and adjuvant therapy in stage II disease. A 5-scale Likert score was used to assess attitudes towards 23 pathological features for prognosis and 18 features for adjuvant therapy. Data were analysed using a rating scale and graded response model in item response theory (IRT) on STATA (Stata MP, version 15; StataCorp LP). One hundred and sixty-four specialists (45 oncologists, 86 surgeons and 33 pathologists) participated. Based on IRT modelling, the most important pathological features for prognosis in colon cancer were distant metastases, lymph node metastases and liver metastases. Other features seen as important were tumour rupture, involved margin, radial margin, CRM, lymphovascular invasion and grade of differentiation. Size of tumour, location, lymph node ratio and EGFR status were considered less important. The most important features in decision making for adjuvant therapy in stage II colon cancer were tumour rupture, lymphovascular invasion and microsatellite instability. BRAF status, size of tumour, location, tumour budding and tumour infiltrating lymphocytes were factored as lesser importance. Biomarkers such as CDX2, EGFR, KRAS and BRAF status present areas for further research to improve precision oncology. This study provides the most current status on the importance of pathological features in prognostication and recommendations for adjuvant therapy in Australia and New Zealand. Results of this nationwide study may be useful to help in guiding prognosis and adjuvant treatment in colon cancer.

Indexed as

Colonic NeoplasmsProto-Oncogene Proteins B-rafChemotherapy, AdjuvantErbB ReceptorsHumansNeoplasm StagingPrecision MedicineErbB ReceptorsProto-Oncogene Proteins B-rafadjuvant therapychemotherapycolon cancerpathological featuresPiCC UP studyprognosissurvival

Identifiers

PMID35323316
PMCPMC8947287
OpenAlexW4213294337

What Socratic 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 Socratic graph.