Evidence map›Paper›PMID 36916724›Full record

ReviewCancer control : journal of the Moffitt Cancer Center

Early Diagnosis of Pancreatic Cancer: Clinical Premonitions, Timely Precursor Detection and Increased Curative-Intent Surgery.

Kjetil Søreide, Warsan Ismail, Marcus Roalsø, Jacob Ghotbi, Claudia Zaharia

Open access · goldAbstract readReview
In one paragraph

Review in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
9.0field-weighted citation impact, top 2% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  10. Improving outcomes of patients with pancreatic cancer.Nature reviews. Clinical oncology · 2025
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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 at 1 institution in 1 country.

Kjetil SøreideDepartment of Gastrointestinal Surgery, HPB unit, 60496Stavanger University Hospital, Stavanger, Norway.ORCID 0000-0001-7594-4354
Warsan IsmailDepartment of Gastrointestinal Surgery, HPB unit, 60496Stavanger University Hospital, Stavanger, Norway.
Marcus RoalsøDepartment of Gastrointestinal Surgery, HPB unit, 60496Stavanger University Hospital, Stavanger, Norway.
Jacob GhotbiDepartment of Gastrointestinal Surgery, HPB unit, 60496Stavanger University Hospital, Stavanger, Norway.
Claudia ZahariaGastrointestinal Translational Research Group, Laboratory for Molecular Medicine, 60496Stavanger University Hospital, Stavanger, Norway.
Stavanger University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe overall poor prognosis in pancreatic cancer is related to late clinical detection. Early diagnosis remains a considerable challenge in pancreatic cancer. Unfortunately, the onset of clinical symptoms in patients usually indicate advanced disease or presence of metastasis. ANALYSIS AND

resultsCurrently, there are no designated

conclusionsEarly detection may come from analytics of various body fluids (eg 'liquid biopsies' from blood or urine). In this review we present some the technological platforms that are explored for their ability to detect pancreatic cancer, some of which may eventually change the prospects and outcomes of patients with pancreatic cancer.

Indexed as

Early Detection of CancerPancreatic NeoplasmsArtificial IntelligenceHumansRisk Factorsbiomarkercurative surgerydiagnosisearly detectionearly diagnosisliquid biopsypreventionradiologyscreening

Identifiers

PMID36916724
PMCPMC9893084
OpenAlexW4319829053

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.