Evidence map›Paper›PMID 27538046›Full record

ReviewThe New Zealand medical journal2016

Screening for colorectal cancer: spoiled for choice?

Diana Sarfati, Caroline Shaw, Melissa McLeod, Tony Blakely, Ian Bissett

Abstract readReview
PubMed
In one paragraph

Review in The New Zealand medical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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. Dimethyladenosine Transferase 1 Homolog Promotes Human Gastric Carcinoma Cell Proliferation and Inhibits Apoptosis via the AKT Pathway.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2023
    Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Diana SarfatiProfessor, Director Cancer Control and Screening Research Group, University of Otago, Wellington.
Caroline ShawSenior Research Fellow and Public Health Physician, Department of Public Health, University of Otago, Wellington.
Melissa McLeodSenior Research Fellow and Public Health Physician, Department of Public Health, University of Otago, Wellington.
Tony BlakelyProfessor, Director Burden of Disease Epidemiology Equity and Cost Effectiveness Programme, Department of Public Health, University of Otago, Wellington.
Ian BissettProfessor, Colorectal Surgeon, Faculty of Medical and Health Sciences, University of Auckland, Auckland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are many different potential screening strategies for colorectal cancer (CRC) that vary both in the likely magnitude of their benefits on CRC mortality and their impact on health services. Many approaches to CRC screening are cost-effective, but there is substantial uncertainty about the optimal approach. Decision models using Markov or microsimulation modelling that compare the cost-effectiveness of different screening strategies are useful in this regard. We have reviewed recent decision models that compare the cost-effectiveness of one-off flexible sigmoidoscopy screening with immunochemical faecal occult blood (FIT) based screening. Models consistently show that any population-based screening is cost-effective compared with no screening, and that FIT-based screening is more effective than one-off sigmoidoscopy screening. The combination of one-off sigmoidoscopy with FIT is more effective in saving lives than either modality alone, but has the greatest impact on health service resources. The recent decision to proceed with biennial FIT-based screening is consistent with current evidence.

Indexed as

Occult BloodClinical Decision-MakingColorectal NeoplasmsCost-Benefit AnalysisEarly Detection of CancerHumansMass ScreeningModels, TheoreticalSigmoidoscopy

Identifiers

PMID27538046

What OpenQuestion holds

Textmetadata
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.