Evidence map›Paper›PMID 33334755›Full record

ArticleBMJ case reports2020

Transfemoral thrombolysis with thrombosuction: an aid to renal biopsy in a case of acute Budd Chiari syndrome complicating nephrotic syndrome.

Arvind Vaidyanathan, Mayuri Trivedi, Vivek Ukirde, Niteen Karnik

Open access · greenAbstract readCase Reports
In one paragraph

Article in BMJ case reports, 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
–field-weighted citation impact, top 79% 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, 0 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

4 authors at 1 institution in 1 country.

Arvind VaidyanathanDepartment of Medicine, Lokmanya Tilak Municipal Medical College and General Hospital, Mumbai, India.
Mayuri TrivediDepartment of Medicine, Lokmanya Tilak Municipal Medical College and General Hospital, Mumbai, India mayuritrivedi80@yahoo.co.in.
Vivek UkirdeDepartment of Radiology, Lokmanya Tilak Municipal Medical College and General Hospital, Mumbai, India.
Niteen KarnikDepartment of Medicine, Lokmanya Tilak Municipal Medical College and General Hospital, Mumbai, India.
Lokmanya Tilak Municipal General Hospital and Lokmanya Tilak Municipal Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal biopsy is usually a prerequisite in the diagnosis of adult patients with nephrotic syndrome. Acute Budd Chiari syndrome is a known complication of certain aetiologies of nephrotic syndrome like membranous glomerulopathy and minimal change disease. This complication requires emergent anticoagulation, which would preclude the performance of a renal biopsy. We report the case of a 47-year-old woman who presented with acute Budd Chiari syndrome as the initial presentation of nephrotic syndrome. The difficult situation in which we had to give anticoagulation and also perform a renal biopsy led us to devise a novel way to treat the patient, namely, the initial use of transfemoral thrombolysis and thrombosuction followed by a renal biopsy, which confirmed the diagnosis of primary membranous nephropathy. Anticoagulation was safely instituted 48 hours later with documented clinical and radiological improvement.

Indexed as

AngiographyAnticoagulantsBiopsyBudd-Chiari SyndromeFemaleFibrinolysisGlomerular Basement MembraneGlomerulonephritis, MembranousHumansMiddle AgedNephrotic SyndromeThrombolytic TherapyTomography, X-Ray ComputedVena Cava, InferiorAnticoagulantsInterventional radiologyNephrotic syndromePortal veinRenal intervention

Identifiers

PMID33334755
PMCPMC7747539
OpenAlexW3112421572

What OpenQuestion holds

Textmetadata
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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.