Evidence map›Paper›PMID 37318753›Full record

ArticleCancer medicine2023

Cost-effectiveness of adjuvant chemotherapy for high-risk stage II and stage III colon cancer in South Africa.

Sarah Xinhui Tan, Yoanna Pumpalova, Alexandra M Rogers, Kishan Bhatt, Candice-Lee Herbst, Paul Ruff, Alfred I Neugut, Chin Hur

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 21% 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, 4 citations in OpenAlex.

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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 2 countries.

Sarah Xinhui TanDepartment of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.ORCID 0000-0001-8066-8454
Yoanna PumpalovaDepartment of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.ORCID 0000-0001-5520-9264
Alexandra M RogersDepartment of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.
Kishan BhattDepartment of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.
Candice-Lee HerbstDepartment of Internal Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Paul RuffNoncommunicable Diseases Research Division, Wits Health Consortium (PTY) Ltd, Johannesburg, South Africa.
Alfred I NeugutDepartment of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.
Chin HurDepartment of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.ORCID 0000-0002-2819-7576
Columbia University · USSouth African Medical Research Council · ZAUniversity of the Witwatersrand · ZA

Funding

Tumor Biology and Microenvironment ProgramP30CA013696 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Anil K Rustgi · 1985 to 2026
$115.3M
NCI NIH HHS P30 CA013696
6 · The paper itself

Abstract

backgroundColon cancer incidence is rising in low- and middle-income countries (LMICs), where resource limitations and cost often dictate treatment decisions. In this study, we evaluate the cost-effectiveness of adjuvant chemotherapy for high-risk stage II and stage III colon cancer treatment in South Africa (ZA) and illustrate how such analyses can inform cancer treatment recommendations in a LMIC.

methodsWe created a decision-analytic Markov model to compare lifetime costs and outcomes for patients with high-risk stage II and stage III colon cancer treated with three adjuvant chemotherapy regimens in a public hospital in ZA: capecitabine and oxaliplatin (CAPOX) for 3 and 6 months, and capecitabine for 6 months, compared to no adjuvant treatment. The primary outcome was the incremental cost-effectiveness ratio (ICER) in international dollars (I$) per disability-adjusted life-year (DALY) averted, at a willingness-to-pay (WTP) threshold equal to the 2021 ZA gross domestic product per capita (I$13,764/DALY averted).

resultsCAPOX for 3 months was cost-effective for both patients with high-risk stage II and patients with stage III colon cancer (ICER = I$250/DALY averted and I$1042/DALY averted, respectively), compared to no adjuvant chemotherapy. In subgroup analyses of patients by tumor stage and number of positive lymph nodes, for patients with high-risk stage II colon cancer and T4 tumors, and patients with stage III colon cancer with T4 or N2 disease. CAPOX for 6 months was cost-effective and the optimal strategy. The optimal strategy in other settings will vary by local WTP thresholds. Decision analytic tools can be used to identify cost-effective cancer treatment strategies in resource-constrained settings.

conclusionColon cancer incidence is increasing in low- and middle-income countries, including South Africa, where resource constraints can impact treatment decisions. This cost-effectiveness study evaluates three systemic adjuvant chemotherapy options, compared to surgery alone, for patients in South African public hospitals after surgical resection for high-risk stage II and stage III colon cancer. Doublet adjuvant chemotherapy (capecitabine and oxaliplatin) for 3 months is the cost-effective strategy and should be recommended in South Africa.

Indexed as

Colonic NeoplasmsAntineoplastic Combined Chemotherapy ProtocolsCapecitabineChemotherapy, AdjuvantCost-Benefit AnalysisFluorouracilHumansNeoplasm StagingOxaliplatinSouth AfricaCapecitabineFluorouracilOxaliplatinadjuvant chemotherapycancer treatmentcolon cancercost-effectivenessSouth Africa

Identifiers

PMID37318753
PMCPMC10417185
OpenAlexW4380729841

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.