Evidence map›Paper›PMID 24681607›Full record

ArticleAnnals of oncology : official journal of the European Society for Medical Oncology2014

Effects of newly developed chemotherapy regimens, comorbidities, chemotherapy-related toxicities on the changing patterns of the leading causes of death in elderly patients with colorectal cancer.

L Tong, C Ahn, E Symanski, D Lai, X L Du

Open access · bronzeAbstract read
In one paragraph

Article in Annals of oncology : official journal of the European Society for Medical Oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

16 citing papers in PubMed, 46 citations in OpenAlex.

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  16. Impact of age and comorbidity on survival in colorectal cancer.Journal of gastrointestinal oncology · 2015
    Article
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

5 authors at 4 institutions in 1 country.

L TongDivision of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas School of Public Health, Houston Department of Clinical Sciences.
C AhnDepartment of Clinical Sciences Harold C. Simmons Cancer Center, UT Southwestern Medical Center, Dallas.
E SymanskiDivision of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas School of Public Health, Houston Southwest Center for Occupational and Environmental Health.
D LaiDivision of Biostatistics Southwest Center for Occupational and Environmental Health.
X L DuDivision of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas School of Public Health, Houston Center for Health Services Research, University of Texas School of Public Health, Houston, USA xianglin.l.du@uth.tmc.edu.
The University of Texas Health Science Center at Houston · USCancer Research And Biostatistics · USSouthwest Center for Educational Excellence · USSouthwestern Medical Center

Funding

Comparative Effectiveness and Cost Effectiveness of Cancer ChemotherapyR01HS018956 · AHRQ · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI DU, XIANGLIN · 2012 to 2014
$880k
AHRQ HHS R01 HS018956AHRQ HHS R01-HS018956
6 · The paper itself

Abstract

backgroundAbundant evidences have shown that newly developed chemotherapy regimens improved 5-year survival rate of colorectal cancer (CRC) patients over the past two decades. However, their impact on risk of death from leading causes among elderly patients is still poorly understood. PATIENTS AND

methodsA retrospective cohort study of 69 718 elderly CRC patients with their first primary tumors in 1992-2009, identified from the 12 areas of Surveillance, Epidemiology, and End Results-Medicare linked database with their Medicare claims up to 2010. Multivariate Cox regression models were used to assess the effect of newly developed chemotherapy regimens, comorbidities, and chemotherapy related toxicities on cause-specific death and their temporal patterns among elderly CRC patients.

resultsThe leading causes of death among CRC patients were CRC, circulation disorders, and secondary cancers, which accounted for 51.4%, 25%, and 4.6% of all-cause death, respectively. Patients diagnosed in more recent diagnostic time periods were significantly less likely to die of CRC [period 2: 5-year hazard ratio = 0.94, 95% confidence interval (CI) 0.90-0.97; period 3: 0.86, 0.83-0.90], circulation disorders (period 2: 0.94, 0.88-1.00; period 3: 0.80, 0.75-0.87), and more likely to die of secondary cancer (period 3: 1.42, 1.20-1.68) compared with those diagnosed in period 1. Charlson comorbidities index and the selected pre-existing comorbidities were significantly associated with increased 5-year risk of death from all three leading causes. Both hematological and gastric toxicity were associated with reduced risk of death from CRC and circulation disorders. The association between diagnostic time period and risk reduction in death from CRC depended on chemotherapy treatment (P < 0.0001). Subgroup analyses showed that the chemotherapy-dependent significant risk reduction was seen in patients with stage II-III CRC, patients without comorbidities, and patients without toxicities (P < 0.0001 for all).

conclusionThe newly developed chemotherapy regimens were associated with the decreased risk of mortality from CRC.

Indexed as

AgedAged, 80 and overAntineoplastic AgentsCause of DeathCohort StudiesColorectal NeoplasmsComorbidityFemaleHumansMaleProportional Hazards ModelsRetrospective StudiesSEER ProgramAntineoplastic Agentscause-specific deathchemotherapy-related toxicitycolorectal cancercomorbiditynewly developed chemotherapy regimens

Identifiers

PMID24681607
PMCPMC4110447
OpenAlexW2098781480

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.