Evidence map›Paper›PMID 42306350›Full record

ArticleCureus2026

A Missed Clue in Plain Sight: Hyperproteinemia and Nonlytic Skeletal Disease Revealing Immunoglobulin A Multiple Myeloma.

Alireza Izadian Bidgoli, Alberto Gomez Veliz

Abstract readCase Reports
In one paragraph

Article in Cureus, 2026. 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
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.

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

2 authors.

Alireza Izadian BidgoliMedicine, American University of the Caribbean School of Medicine, Cupecoy, SXM.
Alberto Gomez VelizInternal Medicine, Jackson Memorial Hospital, Miami, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IgA multiple myeloma can present with atypical and misleading clinical features, delaying diagnosis when more common conditions dominate the initial presentation. We report the case of a 50-year-old male with a history of recurrent gastrointestinal bleeding who presented with severe symptomatic anemia requiring transfusion. Initial evaluation focused on suspected acute blood loss; however, persistent cytopenias and markedly elevated total protein with a preserved albumin level raised concern for an underlying systemic process. Further laboratory evaluation revealed a significant globulin gap, with total protein levels exceeding 10 g/dL and markedly elevated immunoglobulin A (IgA) at 6,318 mg/dL. Serum free light chain analysis demonstrated elevated kappa chains with a profoundly abnormal kappa/lambda ratio. Imaging studies identified multiple vertebral compression fractures and diffuse osteopenia, while endoscopic evaluation revealed severe esophagitis without active bleeding to fully account for the degree of anemia. Bone marrow biopsy confirmed clonal plasma cell proliferation consistent with IgA multiple myeloma. This case underscores the diagnostic importance of recognizing hyperproteinemia and the globulin gap as early indicators of plasma cell dyscrasia, particularly in patients with competing clinical diagnoses such as gastrointestinal bleeding. It further highlights how multiple myeloma may present without classic features such as renal dysfunction or hypercalcemia, instead manifesting through indirect findings, including skeletal fragility and unexplained cytopenias. Early recognition of these subtle but critical clues can facilitate timely diagnosis and initiation of therapy, ultimately improving patient outcomes.

Indexed as

diffuse osteopeniaflow cytometryhigh-risk cytogeneticsiga multiple myelomavertebral compression fractures

Identifiers

PMID42306350
PMCPMC13267761

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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.