Evidence map›Paper›PMID 30764550›Full record

ReviewDiagnostics (Basel, Switzerland)2019

Advances in Early Detection of Pancreatic Cancer.

Atsushi Kanno, Atsushi Masamune, Keiji Hanada, Masataka Kikuyama, Masayuki Kitano

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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  6. Article
  7. A non-invasive screening method usingBiochemistry and biophysics reports · 2024
    Article
  8. Article
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  10. Review
  11. Review
  12. Article
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  14. Article
  15. Article
  16. Review
  17. 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

5 authors.

Atsushi KannoDivision of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai 980-8574, Japan. atsushih@med.tohoku.ac.jp.
Atsushi MasamuneDivision of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai 980-8574, Japan. amasamune@med.tohoku.ac.jp.
Keiji HanadaJapan Study Group on the Early Detection of Pancreatic Cancer (JEDPAC), Onomichi 722-8508, Japan. kh-ajpbd@nifty.com.
Masataka KikuyamaJapan Study Group on the Early Detection of Pancreatic Cancer (JEDPAC), Onomichi 722-8508, Japan. kikuyama110@yahoo.co.jp.
Masayuki KitanoJapan Study Group on the Early Detection of Pancreatic Cancer (JEDPAC), Onomichi 722-8508, Japan. kitano@wakayama-med.ac.jp.

Funding

Grant-in-Aid from the Japan Society for the Promotion of Science 18K07897
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a lethal disease. PDAC is the fourth leading cause of death in the United States and Japan based on epidemiological data. Early detection of PDAC is very important to improve the prognosis of PDAC. Early detection of pancreatic ductal adenocarcinoma (PDAC) requires further examination after selecting cases with risk factors for the condition, such as family history, hereditary pancreatic carcinoma syndrome, intraductal papillary mucinous neoplasms, or chronic pancreatitis. The Japan Study Group on the Early Detection of Pancreatic Cancer has investigated and clarified the clinicopathological features for the early diagnosis of PDAC. In Japan, an algorithm for the early diagnosis of PDAC, which utilized the cooperation of local clinics and regional general hospitals, has been a breakthrough in the detection of early-stage PDAC. Further approaches for the early diagnosis of PDAC are warranted.

Indexed as

early stageERCPpancreatic ductal cell carcinomaPDAC

Identifiers

PMID30764550
PMCPMC6468351

What OpenQuestion holds

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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.