Evidence map›Paper›PMID 25545621›Full record

ArticleJournal of clinical laboratory analysis2016

When an Analytical Interference Is a Useful Diagnostic Tool: Finding Monoclonal Gammopathies in Routine Analysis.

Carmen Quiñones-Torrelo, María Pilar Villanueva-Gil, Ana Rodríguez-Muñoz, Lidia Abellán-Tejada, Manuel Aparici-Ibáñez, Arturo Carratalá-Calvo

Abstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 96% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. Article
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

6 authors at 1 institution in 1 country.

Carmen Quiñones-TorreloBioquímica Clínica y Patología Molecular, Hospital Clínico Universitario, Valencia, Spain.
María Pilar Villanueva-GilBioquímica Clínica y Patología Molecular, Hospital Clínico Universitario, Valencia, Spain.
Ana Rodríguez-MuñozBioquímica Clínica y Patología Molecular, Hospital Clínico Universitario, Valencia, Spain.
Lidia Abellán-TejadaBioquímica Clínica y Patología Molecular, Hospital Clínico Universitario, Valencia, Spain.
Manuel Aparici-IbáñezBioquímica Clínica y Patología Molecular, Hospital Clínico Universitario, Valencia, Spain.
Arturo Carratalá-CalvoBioquímica Clínica y Patología Molecular, Hospital Clínico Universitario, Valencia, Spain.
Hospital Clínico Universitario de Valencia · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe daily productivity of a clinical laboratory depends on the large number of interferences that affect analytical accuracy. Obviously, they have always been considered as a very important aspect to keep accuracy under control. Nevertheless, we wondered if this aspect would be beneficial. In this article, we propose a method for finding monoclonal gammopathies that are based on the fact that the presence of paraprotein in the sample may interfere with routine laboratory assays, specifically, with the quantification of uric acid and conjugated bilirubin.

methodsOver a 5-month period, we evaluated 18,278 sera samples of patients from primary care. None of them were suspected of having plasma cell dyscrasias (not observed hypercalcemia, renal failure, anemia, and/or lytic bone lesions). Although biochemical findings suggested paraprotein interference, we carried out serum capillary electrophoresis (CE) and quantification of immunoglobulins and serum-free light chains (SFLCs). We also confirmed the results obtained by performing the corresponding immunofixation electrophoresis (IFE). Flow cytometry analyses were conducted for immunophenotypic characterization of plasma cells from these patients.

resultsThe proposed detection method allowed us to identify eight patients with previously undiagnosed monoclonal gammopathy.

conclusionsThe results show that it is possible to use analytical interference for diagnostic purposes, and most importantly, almost all cases were identified at an early stage of the disease, when associated clinical manifestations were not yet observed.

Indexed as

Aged, 80 and overBlood ProteinsDiagnostic Tests, RoutineElectrophoresis, CapillaryFemaleHumansMaleMiddle AgedParaproteinemiasBlood Proteinsanalytical interferencedetection methodmonoclonal gammopathyunconjugated bilirubinuric acid

Identifiers

PMID25545621
PMCPMC6807012
OpenAlexW1768327430

What OpenQuestion holds

Textmetadata
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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.