Evidence map›Paper›PMID 34046346›Full record

ArticleFrontiers in oncology2021

Predicting Adverse Pathologic Features and Clinical Outcomes of Resectable Pancreas Cancer With Preoperative CA 19-9.

Roman O Kowalchuk, Scott C Lester, Rondell P Graham, William S Harmsen, Lizhi Zhang, Thorvardur R Halfdanarson, Rory L Smoot, Hunter C Gits, Wen Wee Ma, Dawn Owen and 9 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. A New CA19-9 Cutoff Value Identifies Lewis Antigen Status and Refines Prognostic Stratification in PDAC.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Observational
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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

19 authors at 3 institutions in 1 country.

Roman O KowalchukDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN, United States.
Scott C LesterDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN, United States.
Rondell P GrahamDepartment of Pathology, Mayo Clinic, Rochester, MN, United States.
William S HarmsenDepartment of Statistics, Mayo Clinic, Rochester, MN, United States.
Lizhi ZhangDepartment of Pathology, Mayo Clinic, Rochester, MN, United States.
Thorvardur R HalfdanarsonDepartment of Medical Oncology, Mayo Clinic, Rochester, MN, United States.
Rory L SmootDepartment of Pancreas Surgery, Mayo Clinic, Rochester, MN, United States.
Hunter C GitsDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN, United States.
Wen Wee MaDepartment of Medical Oncology, Mayo Clinic, Rochester, MN, United States.
Dawn OwenDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN, United States.
Amit MahipalDepartment of Medical Oncology, Mayo Clinic, Rochester, MN, United States.
Robert C MillerDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN, United States.
Michelle A Neben WittichDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN, United States.
Sean P ClearyDepartment of Pancreas Surgery, Mayo Clinic, Rochester, MN, United States.
Robert R McWilliamsDepartment of Medical Oncology, Mayo Clinic, Rochester, MN, United States.
Michael G HaddockDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN, United States.
Christopher L HallemeierDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN, United States.
Mark J TrutyDepartment of Pancreas Surgery, Mayo Clinic, Rochester, MN, United States.
Kenneth W MerrellDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN, United States.
Mayo Clinic in Arizona · USMayo Clinic · USWinnMed · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe evaluated preoperative CA 19-9 levels in patients with resected pancreatic cancer to analyze whether they were predictive of clinical outcomes and could help select patients for additional therapy. We hypothesized that elevated CA 19-9 would be associated with worse pathologic findings and oncologic outcomes.

methodsThis study assessed 509 patients with non-metastatic pancreatic adenocarcinoma who underwent resection at our institution from 1995-2011 and had preoperative CA 19-9 recorded. No patients received neoadjuvant therapy. CA 19-9 level was analyzed as a continuous and a dichotomized (>

resultsMedian follow-up was 7.8 years, and the median age was 66 years (33-90). 64% of patients had elevated preoperative CA 19-9 (median: 141 U/mL), that did not correlate with bilirubin level or tumor size. Most patients had ≥ T3 tumors (72%) and positive lymph nodes (62%). The rate of incomplete (R1 or R2) resection was 19%. Increasing preoperative CA 19-9 was associated with extra-pancreatic extension (p=0.0005), lymphovascular space invasion (p=0.0072), incomplete resection [HR (95% CI) 2.0 (1.2-3.5)], and lower OS [HR = 1.6 (1.3-2.0)]. Each doubling in preoperative CA 19-9 value was associated with an 8.3% increased risk of death [HR = 1.08 (1.02-1.15)] and a 10.0% increased risk of distant recurrence [HR = 1.10 (1.02-1.19)]. Patients classified as non-secretors had comparable outcomes to patients with normal CA 19-9.

conclusionsElevated preoperative CA 19-9 level was associated with adverse pathologic features, incomplete resection, and inferior clinical outcomes. Neither tumor size nor bilirubin confound an elevated CA 19-9 level. Preoperative CA 19-9 level may help select patients for additional therapy.

Indexed as

CA19-9neoadjuvantpancreatic cancerprognostic factorsresection

Identifiers

PMID34046346
PMCPMC8147692
OpenAlexW3161001677

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LicenceCC BY
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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.