Evidence map›Paper›PMID 26347086›Full record

Trial reportBioMed research international2015

The Association between Charlson Comorbidity Index and the Medical Care Cost of Cancer: A Retrospective Study.

Seok-Jun Yoon, Eun-Jung Kim, Hyun-Ju Seo, In-Hwan Oh

Open access · hybridAbstract readClinical TrialComparative StudyMulticenter Study
In one paragraph

Trial report in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

19 citing papers in PubMed, 34 citations in OpenAlex.

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  9. Higher risk of traumatic intracranial hemorrhage with antiplatelet therapy compared to oral anticoagulation-a single-center experience.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024
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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

4 authors at 3 institutions in 1 country.

Seok-Jun YoonDepartment of Preventive Medicine, College of Medicine, Korea University, Anam-dong, Seongbuk-gu, Seoul 136-705, Republic of Korea.
Eun-Jung KimDepartment of Economics, Economics Research Institute, Korea University, Anam-dong, Seongbuk-gu, Seoul 136-705, Republic of Korea.
Hyun-Ju SeoDepartment of Nursing, College of Medicine, Chosun University, Dong-gu, Gwangju 61452, Republic of Korea.
In-Hwan OhDepartment of Preventive Medicine, College of Medicine, Kyung Hee University, Dongdaemun-gu, Seoul 130-701, Republic of Korea.
Korea University · KRChosun University · KRKyung Hee University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study compared comorbidity-related medical care cost associated with different types of cancer, by examining breast (N = 287), colon (N = 272), stomach (N = 614), and lung (N = 391) cancer patients undergoing surgery.

methodsUsing medical benefits claims data, we calculated Charlson Comorbidity Index (CCI) and total medical cost. The effect of comorbidity on the medical care cost was investigated using multiple regression and logistic regression models and controlling for demographic characteristics and cancer stage.

resultsThe treatment costs incurred by stomach and colon cancer patients were 1.05- and 1.01-fold higher, respectively, in patients with higher CCI determined. For breast cancer, the highest costs were seen in those with chronic obstructive pulmonary disease (COPD), but the increase in cost reduced as CCI increased. Colon cancer patients with diabetes mellitus and a CCI = 1 score had the highest medical costs. The lowest medical costs were incurred by lung cancer patients with COPD and a CCI = 2 score.

conclusionThe comorbidities had a major impact on the use of medical resources, with chronic comorbidities incurring the highest medical costs. The results indicate that comorbidities affect cancer outcomes and that they must be considered strategies mitigating cancer's economic and social impact.

Indexed as

Models, EconomicAdultAgedCosts and Cost AnalysisDelivery of Health CareFemaleHumansMaleMiddle AgedNeoplasmsNeoplasm StagingPulmonary Disease, Chronic Obstructive

Identifiers

PMID26347086
PMCPMC4539424
OpenAlexW1523881555

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.