Evidence map›Paper›PMID 37190211›Full record

ArticleCancers2023

The Optimal Cutoff Value of Tumor Markers for Prognosis Prediction in Ampullary Cancer.

Seungho Lee, Hongbeom Kim, Heeju Sohn, Mirang Lee, Hyesol Jung, Youngjae Jo, Youngmin Han, Wooil Kwon, Jin-Young Jang

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

9 authors at 1 institution in 1 country.

Seungho LeeDepartments of Surgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.
Hongbeom KimDepartments of Surgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.
Heeju SohnDepartments of Surgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.ORCID 0000-0002-9339-930X
Mirang LeeDepartments of Surgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.ORCID 0000-0002-3171-2540
Hyesol JungDepartments of Surgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.
Youngjae JoDepartments of Surgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.ORCID 0000-0003-2255-8390
Youngmin HanDepartments of Surgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.ORCID 0000-0003-0456-7824
Wooil KwonDepartments of Surgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.
Jin-Young JangDepartments of Surgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.
Seoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCarbohydrate antigen 19-9 (CA 19-9) is a representative tumor marker used for the diagnosis of pancreatic and biliary tract cancers. There are few published research results that can be applied to actual clinical practice for ampullary cancer (AC) alone. This study aimed to demonstrate the relationship between the prognosis of AC and the level of CA 19-9, and to determine the optimal thresholds.

methodsPatients who underwent curative resection (pancreaticoduodenectomy (PD) or pylorus preserving pancreaticoduodenectomy (PPPD)) for AC at the Seoul National University Hospital between January 2000 and December 2017 were enrolled. To determine the optimal cutoff values that could clearly stratify the survival outcome, the conditional inference tree (C-tree) method was used. After obtaining the optimal cutoff values, they were compared to the upper normal clinical limit of 36 U/mL for CA 19-9. Results In total, 385 patients were enrolled in this study. The median value of the tumor marker CA 19-9 was 18.6 U/mL. Using the C-tree method, 46 U/mL was determined to be the optimal cutoff value for CA 19-9. Histological differentiation, N stage, and adjuvant chemotherapy were significant predictors. CA 19-9 36 U/mL had marginal significance as a prognostic factor. In contrast, the new cutoff value, CA 19-9 46 U/mL, was found to be a statistically significant prognostic factor (HR: 1.37,

conclusionsThe new cutoff value of CA 19-9 46 U/mL may be used for evaluating the prognosis of AC. Therefore, it may be an effective indicator for determining treatment strategies such as surgical treatments and adjuvant chemotherapy.

Indexed as

ampullary cancercutoff valueoverall survivalprognosistumor marker

Identifiers

PMID37190211
PMCPMC10136701
OpenAlexW4365515373

What OpenQuestion holds

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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.