Evidence map›Paper›PMID 32181435›Full record

ArticleAnnals of hepato-biliary-pancreatic surgery2020

Biliary cystadenoma in an endemic zone of hydatid cyst: A rare surgical surprise.

Krishna Ramavath, Lileswar Kaman, Ashish Gupta, Abhinav Singh, Asim Das

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Annals of hepato-biliary-pancreatic surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Krishna RamavathDepartment of General Surgery, Post Graduate Institute of Medical Education and Research, Chandigarh, India.ORCID https://orcid.org/0000-0002-1670-3902
Lileswar KamanDepartment of General Surgery, Post Graduate Institute of Medical Education and Research, Chandigarh, India.ORCID https://orcid.org/0000-0003-1837-2614
Ashish GuptaDepartment of General Surgery, Post Graduate Institute of Medical Education and Research, Chandigarh, India.ORCID https://orcid.org/0000-0001-7413-267X
Abhinav SinghDepartment of General Surgery, Post Graduate Institute of Medical Education and Research, Chandigarh, India.ORCID https://orcid.org/0000-0002-7959-1696
Asim DasDepartment of Histopathology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.ORCID https://orcid.org/0000-0002-2031-7000
Post Graduate Institute of Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advancement of radiological investigations has led to the early and incidental detection of hepatic cystic lesions. These are most commonly the simple cysts but can be malignant as well. Despite the recent advances, these lesions still pose a diagnostic as well as therapeutic challenge. The biliary cystadenomas and carcinomas form around 5% of all the malignant cystic lesions of liver. These lesions are hardly diagnosed preoperatively and are usually a histopathological surprise. They warrant a surgical excision. Herewith, the authors are describing a case of cystic hepatic neoplasm initially misdiagnosed as hydatid cyst of liver and discovered to be a vascular cystic lesion intraoperatively. This patient underwent resection of the lesion and was discovered to harbour biliary cystadenoma on histopathological specimen.

Indexed as

Biliary cystadenomaCystadenocarcinomaHydatid cyst of liver

Identifiers

PMID32181435
PMCPMC7061038
OpenAlexW3009641703

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.