Evidence map›Paper›PMID 42322013›Full record

ArticleCancer medicine2026

Charleson and Elixhauser Comorbidity Indices in Predicting Mortality Among Young and Old Cervical Cancer Patients.

Amruta Kulkarni, Howard W Wiener, Teresa K L Boitano, Jeff M Szychowski, Sadeep Shrestha

Abstract read
In one paragraph

Article in Cancer medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Amruta KulkarniDepartment of Biostatistics, School of Public Health, UAB, Birmingham, Alabama, USA.
Howard W WienerDepartment of Epidemiology, School of Public Health, UAB, Birmingham, Alabama, USA.
Teresa K L BoitanoDepartment of Obstetrics and Gynecology, Heersink School of Medicine, UAB, Birmingham, Alabama, USA.
Jeff M SzychowskiDepartment of Biostatistics, School of Public Health, UAB, Birmingham, Alabama, USA.
Sadeep ShresthaDepartment of Epidemiology, School of Public Health, UAB, Birmingham, Alabama, USA.

Funding

UAB Center for Clinical and Translational Science (CCTS)UL1TR001417 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI KIMBERLY, ROBERT P. · 2015 to 2018
$31.4M
NCATS NIH HHS UL1TR001417Quetelet Endowed Professorship Research Fund (Shrestha).
6 · The paper itself

Abstract

introductionCervical cancer is the fourth leading cause of cancer deaths in women, and mortality varies significantly by region, with the highest rate in southeastern US. This study evaluated the association between comorbidity burden and cervical cancer survival and compared the prognostic performance of the Charlson Comorbidity Index (CCI) and Elixhauser Comorbidity Index (ECI).

methodsA retrospective cohort study was conducted using electronic medical records of women diagnosed with cervical cancer between 2011 and 2021 at a large academic hospital in southeastern US. CCI and ECI were estimated to assess 5-year overall survival using the Kaplan-Meier methods and multivariable Cox proportional hazard models, stratified by age at diagnosis (young < 50 vs. old ≥ 50 years) and adjusting for baseline demographics. Two-year survival analyses were also conducted. Predictive discrimination of CCI and ECI models was compared using Harrell's C-statistic.

resultsHigher comorbidity burden was associated with increased mortality across age groups. Compared with patients with no comorbidities (CCI = 0), CCI scores of 1-4 and ≥ 5 were associated with higher 5-year mortality among younger women (adjusted hazard ratio [aHR] = 2.35 (1.03-5.35); 2.80 (1.38-5.69), respectively) and older women (aHR = 2.38 (1.26-4.50); 1.43 (0.63-3.27), respectively). ECI scores ≥ 3 were also strongly associated with increased 5-year mortality in both age groups. Both indices demonstrated acceptable and comparable predictive discrimination for 5-year survival in both age groups (C-statistics ranging from 0.74-0.70). Findings were consistent in 2-year survival analyses.

conclusionGreater comorbidity burden is independently associated with worse survival among cervical cancer patients; highlighting the importance of comorbidity management in cervical cancer care.

Indexed as

Uterine Cervical NeoplasmsAdultAgedAge FactorsComorbidityFemaleHumansKaplan-Meier EstimateMiddle AgedPrognosisProportional Hazards ModelsRetrospective StudiesCharleson comorbidity indexElixhauser comorbidity indexsurvival analysisuterine cervical neoplasms

Identifiers

PMID42322013
PMCPMC13282265

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.