Evidence map›Paper›PMID 31640240›Full record

ArticleJournal of clinical medicine2019

Preoperative Clinical and Computed Tomography (CT)-Based Nomogram to Predict Oncologic Outcomes in Patients with Pancreatic Head Cancer Resected with Curative Intent: A Retrospective Study.

Shin Hye Hwang, Ha Yan Kim, Eun Ju Lee, Ho Kyoung Hwang, Mi-Suk Park, Myeong-Jin Kim, Woo Jung Lee, Yong Eun Chung, Chang Moo Kang

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2019. 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
0.6field-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

6 citing papers in PubMed, 14 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Shin Hye HwangDepartment of Radiology, National Health Insurance Service Ilsan Hospital, Goyang 410-719, Korea. pleiades5@nhimc.or.kr.
Ha Yan KimDepartment of Biomedical Systems Informatics, Biostatistics Collaboration Unit and Yonsei University College of Medicine, Seoul 03722, Korea. hykim1213@yuhs.ac.
Eun Ju LeeDepartment of Biomedical Systems Informatics, Biostatistics Collaboration Unit and Yonsei University College of Medicine, Seoul 03722, Korea. eunjulee12@naver.com.
Ho Kyoung HwangDivision of HBP Surgery, Department of Surgery, Yonsei University College of Medicine, Seoul 03722, Korea. drhhk@yuhs.ac.
Mi-Suk ParkDepartment of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Korea. radpms@yuhs.ac.
Myeong-Jin KimDepartment of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Korea. kimnex@yuhs.ac.
Woo Jung LeeDivision of HBP Surgery, Department of Surgery, Yonsei University College of Medicine, Seoul 03722, Korea. wjlee@yuhs.ac.
Yong Eun ChungDepartment of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Korea. yelv@yuhs.ac.
Chang Moo KangDivision of HBP Surgery, Department of Surgery, Yonsei University College of Medicine, Seoul 03722, Korea. cmkang@yuhs.ac.
Yonsei University · KRNational Health Insurance Service Ilsan Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrently, proposed nomograms are mainly based on post-operative histopathology. The purpose of this study was to identify preoperative computed tomography (CT) and clinical information that allow prediction of disease-free (DFS) and overall survival (OS) of patients surgically treated for pancreatic head cancer.

methodsA total of 136 patients who underwent curative-intent surgery were retrospectively reviewed. Based on results from multivariate Cox regression analysis, a prediction model was constructed with preoperative CT features and clinical information. Overall performance of the nomogram was calculated by Harrell's C-index.

resultsSymptoms at diagnosis, preoperative serum CA 19-9 ≥ 34 U/mL, and four imaging features (necrosis (DFS,

conclusionA nomogram derived from preoperative CT and clinical information could estimate the risk of recurrence and all-cause death after curative-intent surgery for radiologically resectable pancreatic head cancer.

Indexed as

computed tomography (CT)nomogrampancreatic cancerpancreatic head cancerprognosis

Identifiers

PMID31640240
PMCPMC6833079
OpenAlexW2980936489

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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.