Evidence map›Paper›PMID 33687521›Full record

ReviewSkeletal radiology2022

Plasma cell myeloma: role of histopathology, immunophenotyping, and genetic testing.

Megan J Fitzpatrick, Valentina Nardi, Aliyah R Sohani

Abstract readReview
PubMed Publisher
In one paragraph

Review in Skeletal radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 20 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

3 authors at 2 institutions in 1 country.

Megan J FitzpatrickDepartment of Pathology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, WRN 219, Boston, MA, 02114, USA.
Valentina NardiDepartment of Pathology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, WRN 219, Boston, MA, 02114, USA.
Aliyah R SohaniDepartment of Pathology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, WRN 219, Boston, MA, 02114, USA. arsohani@mgh.harvard.edu.
Harvard University · USLemuel Shattuck Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myeloma is a malignant neoplasm of plasma cells with complex pathogenesis. Diagnosis and risk stratification require the integration of histology, radiology, serology, and genetic data. Bone marrow biopsies are essential for myeloma diagnosis by providing material for histologic and cytologic assessment as well as immunophenotypic and genetic studies. Flow cytometry and genetic studies are, in particular, becoming increasingly important for diagnosis, risk stratification, and assessment of treatment response. Myeloma has traditionally been characterized by recurrent cytogenetic abnormalities that can be divided into two subtypes: hyperdiploid, characterized by trisomies, and non-hyperdiploid, characterized by translocations involving chromosome 14. These abnormalities are thought to be primary events, initiating a premalignant state, which progresses to myeloma through the acquisition of secondary mutations. The emergence of next-generation sequencing has led to the discovery of numerous mutations and gene fusions that comprise the heterogenous genomic landscape of myeloma. As the underlying pathogenesis of myeloma continues to be delineated, possible therapeutic targets have also emerged. Herein, we describe the importance of histology, immunophenotype, and mutational analysis in the assessment of myeloma.

Indexed as

Multiple MyelomaChromosome AberrationsGenetic TestingHumansImmunophenotypingTranslocation, GeneticCytogeneticsFlow cytometryFluorescence in situ hybridizationMyelomaNext-generation sequencingPlasma cell

Identifiers

PMID33687521
OpenAlexW3134388057

What OpenQuestion holds

Textmetadata
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.