Evidence map›Paper›PMID 36225504›Full record

ArticleCureus2022

Can Cross-Sectional Imaging Reliably Determine Pathological Staging of Right-Sided Colon Cancers and Select Patients for More Radical Surgery or Neo-Adjuvant Treatment?

Florence Shekleton, Edward Courtney, Adrian Andreou, John Bunni

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
0.4field-weighted citation impact, top 37% 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, 2 syntheses or guidelines pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Observational
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

4 authors at 1 institution in 1 country.

Florence ShekletonSurgery, Royal United Hospital Bath, Bath, GBR.
Edward CourtneyGeneral Surgery, Royal United Hospital Bath, Bath, GBR.
Adrian AndreouRadiology, Royal United Hospital Bath, Bath, GBR.
John BunniGeneral Surgery, Royal United Hospital Bath, Bath, GBR.
Royal United Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose and research question Cross-sectional imaging with CT scanning is the most commonly performed imaging modality to stage right-sided colon cancers. There is increasing evidence for the use of neo-adjuvant chemotherapy in selected patients and debate about the role of complete mesocolic excision (CME) and central vascular ligation (CVL) in the management of locally advanced colon cancers. Predicted tumour stage and the presence of nodal metastases by CT are often used to select patients for neo-adjuvant chemotherapy and those that may benefit from CME. This study aims to compare predicted radiological T and N staging with final pathological T and N staging in elective patients having potentially curative surgery for right-sided colon cancer. Methods A retrospective analysis was carried out of a prospectively gathered database of all patients who had undergone (true) right hemicolectomy between 02/01/13 and 21/05/20. Sensitivity, specificity, positive predictive value, and negative predictive value for CT scanning with regards to the pathological nodal metastases were calculated and analysed. Results The sensitivity and specificity of radiology staging for predicting nodal status were 76.4% and 65.5% respectively. The positive predictive value of CT staging for correctly identifying nodal metastases was 55.3%, with a negative predictive value of 77.3%. Conclusions This large series adds further evidence that CT, even when reviewed by expert GI radiologists, has limited accuracy at identifying lymph node metastases in colon cancer.

Indexed as

cmecolorectal cancerctradiologystaging

Identifiers

PMID36225504
PMCPMC9535614
OpenAlexW4294719315

What OpenQuestion holds

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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.