Evidence map›Paper›PMID 34589351›Full record

ArticleCureus2021

Idiopathic Portal Vein Thrombosis in a Non-cirrhotic Patient: A Discussion of Management and a Review of Literature.

Justin Y Ng, Sacha Reason, Jessica Y Ng

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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 2 institutions in 1 country.

Justin Y NgSurgery, Gold Coast University Hospital, Southport, AUS.
Sacha ReasonOrthopaedics, The Bone Doctor.net, Mackay, AUS.
Jessica Y NgSurgery, Gold Coast University Hospital, Southport, AUS.
Gold Coast Hospital · AUMackay Base Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Portal vein thrombosis (PVT) is most commonly seen in people with predisposing conditions such as cirrhosis, hepatobiliary malignancies, infectious or inflammatory abdominal disease, or haematologic disorders. However, the incidence of idiopathic portal vein thrombosis in non-cirrhotic people is low and approximately 25% of existing cases have no identifiable cause. If untreated, complications can include portal hypertension, a cavernous transformation of the portal vein, varices, septic thrombosis, or intestinal ischemia. We report the case of a 27-year-old female who presented to her general practitioner with two weeks of epigastric pain. She was referred for an upper abdominal USG and CT imaging, which identified portal vein thrombosis with a normal appearance of the gallbladder, liver, and spleen. Thrombophilia screen was negative for Factor V Leiden and prothrombin mutations and lupus anticoagulant. The tumour markers alpha-fetoprotein and carcinoembryonic antigen were also within normal limits. The patient was started on rivaroxaban indefinitely following advice from a vascular surgeon and haematologist. Subsequent follow-up imaging also revealed cavernous transformation of the portal vein. We present this case to discuss the diagnosis, management and treatment of this patient and to review the current evidence available in managing idiopathic portal vein thrombosis in non-cirrhotic patients, especially the role of anticoagulation in chronic cases.

Indexed as

doacs and portal vein thrombosisgastroentero-hepatologygi radiologyhepatobiliary surgeriesportal vein thrombosistherapeutic anticoagulation

Identifiers

PMID34589351
PMCPMC8462748
OpenAlexW3196139228

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.