Evidence map›Paper›PMID 37016682›Full record

ReviewHepatic medicine : evidence and research2023

Mucinous Cystic Neoplasms of the Liver: Epidemiology, Diagnosis, and Management.

Jeffrey A Hutchens, Kevin J Lopez, Eugene P Ceppa

Open access · goldAbstract readReview
In one paragraph

Review in Hepatic medicine : evidence and research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
7.8field-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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Liver mucinous cystic neoplasm: a challenging diagnosis case report.International journal of surgery case reports · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Hepatic mucinous cystic neoplasm in a male patient: A case report.Experimental and therapeutic medicine · 2025
    Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. 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

3 authors at 1 institution in 1 country.

Jeffrey A HutchensDepartment of Surgery, Division of Surgical Oncology, Indiana University School of Medicine, Indianapolis, IN, USA.ORCID 0000-0002-3715-9491
Kevin J LopezDepartment of Surgery, Division of Surgical Oncology, Indiana University School of Medicine, Indianapolis, IN, USA.
Eugene P CeppaDepartment of Surgery, Division of Surgical Oncology, Indiana University School of Medicine, Indianapolis, IN, USA.
Indiana University School of Medicine

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mucinous cystic neoplasms (MCNs) are rare tumors of the liver, occasionally seen in the biliary tree. Epidemiologic data are limited by their indolence and recent changes to diagnostic criteria. They are considered premalignant lesions capable of invasive behavior. While their etiology remains unknown, their female predominance, age of onset, and hormonally responsive ovarian-type stroma suggest ectopic organogenesis during embryologic development. MCNs can typically be recognized on imaging; yet, invasiveness is often indeterminate, and percutaneous tissue biopsy has shown limited value. Therefore, complete excision is recommended for all lesions as focal malignant transformation and metastatic disease has been reported.

Indexed as

hepatobiliary cystadenocarcinomahepatobiliary cystadenomamucinous cystic neoplasm

Identifiers

PMID37016682
PMCPMC10066895
OpenAlexW4361218198

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.