Evidence map›Paper›PMID 28681075›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2018

Cost analysis of colorectal cancer screening with CT colonography in Italy.

Paola Mantellini, Giuseppe Lippi, Lapo Sali, Grazia Grazzini, Silvia Delsanto, Beatrice Mallardi, Massimo Falchini, Guido Castiglione, Francesca Maria Carozzi, Mario Mascalchi and 3 more

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In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 33% 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

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

  1. Guideline
  2. Trial
  3. Review
  4. Review
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 2 countries.

Paola MantelliniCancer Prevention and Research Institute - ISPO, Via Cosimo il Vecchio 2, 50139, Florence, Italy. p.mantellini@ispo.toscana.it.ORCID http://orcid.org/0000-0003-4114-4011
Giuseppe LippiAzienda USL Toscana Centro, P.za S. Maria Nuova 1, Florence, Italy.
Lapo SaliDepartment of Biomedical, Experimental and Clinical Sciences "Mario Serio", University of Florence, Viale Morgagni 50, Florence, Italy.
Grazia GrazziniCancer Prevention and Research Institute - ISPO, Via Cosimo il Vecchio 2, 50139, Florence, Italy.
Silvia Delsantoim3D S.p.A., Via Livorno 60, Turin, Italy.
Beatrice MallardiCancer Prevention and Research Institute - ISPO, Via Cosimo il Vecchio 2, 50139, Florence, Italy.
Massimo FalchiniDepartment of Biomedical, Experimental and Clinical Sciences "Mario Serio", University of Florence, Viale Morgagni 50, Florence, Italy.
Guido CastiglioneCancer Prevention and Research Institute - ISPO, Via Cosimo il Vecchio 2, 50139, Florence, Italy.
Francesca Maria CarozziCancer Prevention and Research Institute - ISPO, Via Cosimo il Vecchio 2, 50139, Florence, Italy.
Mario MascalchiDepartment of Biomedical, Experimental and Clinical Sciences "Mario Serio", University of Florence, Viale Morgagni 50, Florence, Italy.
Stefano MilaniDepartment of Biomedical, Experimental and Clinical Sciences "Mario Serio", University of Florence, Viale Morgagni 50, Florence, Italy.
Leonardo VenturaCancer Prevention and Research Institute - ISPO, Via Cosimo il Vecchio 2, 50139, Florence, Italy.
Marco ZappaCancer Prevention and Research Institute - ISPO, Via Cosimo il Vecchio 2, 50139, Florence, Italy.
Prevention Institute · USUniversity of Florence · ITAzienda Usl Toscana Centro · ITEnvironment Park · IT

Funding

Tuscany Region, Italy 2009DUA000000000089835900120000000002
6 · The paper itself

Abstract

objectiveUnit costs of screening CT colonography (CTC) can be useful for cost-effectiveness analyses and for health care decision-making. We evaluated the unit costs of CTC as a primary screening test for colorectal cancer in the setting of a randomized trial in Italy.

methodsData were collected within the randomized SAVE trial. Subjects were invited to screening CTC by mail and requested to have a pre-examination consultation. CTCs were performed with 64- and 128-slice CT scanners after reduced or full bowel preparation. Activity-based costing was used to determine unit costs per-process, per-participant to screening CTC, and per-subject with advanced neoplasia.

resultsAmong 5242 subjects invited to undergo screening CTC, 1312 had pre-examination consultation and 1286 ultimately underwent CTC. Among 129 subjects with a positive CTC, 126 underwent assessment colonoscopy and 67 were ultimately diagnosed with advanced neoplasia (i.e., cancer or advanced adenoma). Cost per-participant of the entire screening CTC pathway was €196.80. Average cost per-participant for the screening invitation process was €17.04 and €9.45 for the pre-examination consultation process. Average cost per-participant of the CTC execution and reading process was €146.08 and of the diagnostic assessment colonoscopy process was €24.23. Average cost per-subject with advanced neoplasia was €3777.30.

conclusionsCost of screening CTC was €196.80 per-participant. Our data suggest that the more relevant cost of screening CTC, amenable of intervention, is related to CTC execution and reading process.

Indexed as

Colonography, Computed TomographicColonoscopyColorectal NeoplasmsEarly Detection of CancerFemaleHumansItalyMaleMass ScreeningMiddle AgedRandomized Controlled Trials as TopicColorectal cancerCost analysisCost-effectivenessCT colonographyMass screeningUnit cost

Identifiers

PMID28681075
OpenAlexW2726598463

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.