Evidence map›Paper›PMID 40402423›Full record

ArticleAnnals of surgical oncology2025

Estimating the Survival Impact of Curative-Intent Liver Therapies for Colorectal Cancer Liver Metastases.

Vasileios Tsagkalidis, Elizabeth A Handorf, Benjamin A Bates, David G Brauer, Patrick M Boland, Charu Verma, Mariam F Eskander, Miral S Grandhi, Haejin In, Hari S Iyer and 7 more

Abstract read
In one paragraph

Article in Annals of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

17 authors.

Vasileios TsagkalidisDivision of Surgical Oncology, Banner MD Anderson Cancer Center, Gilbert, AZ, USA.
Elizabeth A HandorfDepartment of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA.
Benjamin A BatesInstitute for Health, Health Care Policy and Aging Research, New Brunswick, NJ, USA.
David G BrauerDivision of Surgical Oncology, Department of Surgery, University of Minnesota, Minneapolis, MN, USA.
Patrick M BolandDivision of Medical Oncology, Rutgers Cancer Institute, New Brunswick, NJ, USA.
Charu VermaInstitute for Health, Health Care Policy and Aging Research, New Brunswick, NJ, USA.
Mariam F EskanderRutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
Miral S GrandhiRutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
Haejin InRutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
Hari S IyerDepartment of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA.
Timothy J KennedyRutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
Russell C LanganRutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
Jason C MaggiRutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
Henry A PittRutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
Elisa V BanderaDepartment of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA.
Alexander A ParikhDivision of Surgical Oncology, University of Texas Health Science Center San Antonio MD Anderson Cancer Center, San Antonio, TX, USA.
Brett L EckerRutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA. Brett.Ecker@Rutgers.edu.

Funding

NCI NIH HHS HHSN261201800009CNCI NIH HHS HHSN261201800009INCI NIH HHS HHSN261201800015CNCI NIH HHS HHSN261201800015INCI NIH HHS HHSN261201800032CNCI NIH HHS HHSN261201800032I
6 · The paper itself

Abstract

backgroundFor patients with colorectal cancer liver metastasis (CRCLM), curative-intent liver therapies are associated with improved survival. However, randomized data are lacking, and individual-level retrospective data are limited by selection bias. We aimed to quantify the survival impact of these therapies by analyzing how regional variation in liver therapy rates influence survival outcomes within health service areas (HSA). PATIENTS AND

methodsThe Surveillance, Epidemiology, and End Results (SEER)-Medicare database (2000-2020) was analyzed for patients aged 66-85 years with liver-isolated CRCLM who underwent curative-intent liver therapy (i.e., hepatectomy, ablation, or transplantation). Rates of resection within HSAs for each year were calculated. A comparison of observed versus expected survival was performed between two eras (era 1: 2002-2004; era 2: 2013-2015) to quantify the impact of changing rates of curative-intent liver therapy on HSA-level survival.

resultsA total of 34,781 patients across 163 HSAs were included. Most patients had synchronous CRCLM (65.8%) and received chemotherapy (63.1%); a minority (10.9%) underwent curative-intent liver therapy (hepatectomy, 74.3%; ablation alone, 24.9%; transplantation 0.8%). A total of 56 (34%) HSAs had the rate of curative-intent liver therapy increase (≥ 5%) across eras, 58 (36%) HSAs had the rate remain constant, and 49 (30%) HSAs experienced a rate decrease (≥ 5%). Each 5% increase in the rate of curative-intent liver therapy was associated with a 1.2% (95% CI 0.4-2.0%) increase in the risk-adjusted survival rate (p = 0.003).

conclusionsHSA variation in rates of curative-intent therapy for CRCLM was associated with population-level changes in survival. These data quantify the expected improvements associated with efforts to increase patient access to curative-intent therapies for CRCLM.

Indexed as

Colorectal NeoplasmsHepatectomyLiver NeoplasmsLiver TransplantationAgedAged, 80 and overFemaleFollow-Up StudiesHumansMalePrognosisRetrospective StudiesSEER ProgramSurvival RateUnited StatesCancerColorectalDifference-in-differencesLiverMedicareMetastasesSEERSurvival

Identifiers

PMID40402423
PMCPMC12317857

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Registered trials

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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.