Evidence map›Paper›PMID 34631606›Full record

ArticleAutopsy & case reports2021

Diagnostic challenges in systemic amyloidosis: a case report with clinical and laboratorial pitfalls.

Angelina Maria Martins Lino, Jussara Bianchi Castelli, Roberta Shcolnik Szor, Fabio Fernandes, Vera Demarchi Aiello

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Autopsy & case reports, 2021. 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 91% 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

5 authors at 4 institutions in 2 countries.

Angelina Maria Martins LinoUniversidade de São Paulo (USP), Hospital das Clínicas, Department of Neurology, Clinical Peripheral Nerve Group, São Paulo, SP, Brasil.ORCID 0000-0001-7109-8365
Jussara Bianchi CastelliUniversidade de São Paulo (USP), Instituto do Coração, Laboratory of Pathology, São Paulo, SP, Brasil.ORCID 0000-0002-8414-4161
Roberta Shcolnik SzorUniversidade de São Paulo (USP), Instituto do Câncer do Estado de São Paulo, São Paulo, SP, Brasil.ORCID 0000-0001-5254-3486
Fabio FernandesUniversidade de São Paulo (USP), Instituto do Coração, Cardiomiopathy Group, São Paulo, SP, Brasil.ORCID 0000-0002-9323-8805
Vera Demarchi AielloUniversidade de São Paulo (USP), Instituto do Coração, Laboratory of Pathology, São Paulo, SP, Brasil.ORCID 0000-0002-4185-9423
Instituto do Coração · PTHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRInstituto do Câncer do Estado de São Paulo · BRUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, there is growing evidence in the literature warning of misdiagnosis involving amyloidosis and chronic inflammatory demyelinating polyneuropathy (CIDP). Although inducing clinical manifestations outside the peripheral nervous system, light chain and transthyretin amyloidosis may initially present with peripheral neuropathy, which can be indistinguishable from CIDP, leading to a delay in the correct diagnosis. Besides, the precise identification of the amyloid subtype is often challenging. This case report exemplifies clinical and laboratory pitfalls in diagnosing amyloidosis and subtyping amyloid, exposing the patient to potentially harmful procedures.

Indexed as

Amyloidosis, FamilialDiagnostic ErrorsLight Chain Immunoglobulin AmyloidosisParaproteinemiasPolyradiculoneuropathy, Chronic Inflammatory Demyelinating

Identifiers

PMID34631606
PMCPMC8489187
OpenAlexW3202212462

What OpenQuestion holds

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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.