Evidence map›Paper›PMID 36205174›Full record

ReviewJournal of cutaneous medicine and surgery

Recommendations for an Approach to Random Skin Biopsy in the Diagnosis of Intravascular B-Cell Lymphoma.

Michael L MacGillivary, Kerri S Purdy

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of cutaneous medicine and surgery. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.7field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Michael L MacGillivary12361 Division of Dermatology, Dalhousie University, Halifax, Canada.ORCID 0000-0001-8339-257X
Kerri S Purdy12361 Division of Dermatology, Dalhousie University, Halifax, Canada.
Dalhousie University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intravascular B-Cell Lymphoma (IVBCL) is a rare type of extranodal large B-cell lymphoma where clonal B-cells selectively home to and replicate in the lumen of small vessels. Random skin biopsy (RSB) of uninvolved skin is a reputable tool to diagnose this protean entity and thus dermatologists are involved in its diagnosis. A literature review was completed to derive an approach to RSB in these patients to maximize diagnostic yield of IVBCL and minimize morbidity. Based on this review, data from 27 patients where clinical signs and symptoms and results of investigations were able to be linked to a positive diagnosis of IVBCL from RSB from 11 papers from 2003 to 2021 were analyzed. Following this analysis, RSB should be considered when there are no clinical skin findings and there is an elevated lactate dehydrogenase in the absence of lymphadenopathy and presence of fever of unknown origin, thrombocytopenia, anemia, and ferritinemia. Three to four RSBs from the thigh, abdomen and/or posterior upper arm should be performed via either incisional or telescoping punch biopsies and should include senile/cherry angioma(s) if present. If RSB results in a diagnosis of IVBCL, hematology should be consulted for further management. Consideration of a false negative biopsy or alternative diagnoses should be explored if RSB is negative for IVBCL. Following a standard approach for RSB in these patients will increase diagnostic yield of IVBCL while decreasing the risk of harm to the patient.

Indexed as

Lymphoma, Large B-Cell, DiffuseBiopsyClone CellsHumansLower ExtremitySkinintravascular B-cell lymphomalactate dehydrogenaserandom skin biopsytelescoping punch biopsy

Identifiers

PMID36205174
PMCPMC9902969
OpenAlexW4303513122

What OpenQuestion holds

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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.