Evidence map›Paper›PMID 37936261›Full record

ArticleAmerican journal of clinical pathology2024

Data analytics improves the diagnostic accuracy of serum free light chain results for detecting monoclonal gammopathy.

Rebecca S Treger, Patrick C Mathias, Andrew J Cowan, Damian Green, Kathleen Hutchinson, Andrew Bryan, Anu Chaudhary, Susan L Fink, Mark H Wener, Chihiro Morishima

Open access · hybridAbstract read
In one paragraph

Article in American journal of clinical pathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
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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

10 authors at 2 institutions in 1 country.

Rebecca S TregerDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, US.ORCID 0000-0002-2736-3341
Patrick C MathiasDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, US.ORCID 0000-0003-4266-561X
Andrew J CowanDivision of Medical Oncology, University of Washington, Seattle, WA, US.
Damian GreenDivision of Medical Oncology, University of Washington, Seattle, WA, US.
Kathleen HutchinsonDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, US.
Andrew BryanDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, US.
Anu ChaudharyDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, US.
Susan L FinkDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, US.ORCID 0000-0003-1705-0103
Mark H WenerDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, US.ORCID 0000-0002-8304-6957
Chihiro MorishimaDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, US.ORCID 0000-0001-5330-9464
University of Washington · USUniversity of Washington Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the real-world performance and reference intervals of the Binding Site Freelite serum free light chain (SFLC) assay (Thermo Fisher Scientific), a global standard for diagnosis, prognostication, and response assessment for monoclonal gammopathies.

methodsAn informatics-based approach was used to retrospectively evaluate concordance between SFLC and the orthogonal Sebia HYDRASYS immunofixation assay results in a large clinical data set consecutively reported between 2010 and 2020.

resultsAmong patients with monoclonal-negative results by both SFLC and Sebia HYDRASYS immunofixation assays, 25% (1226/5057) had κ/λ ratios (KLRs) outside the manufacturer-defined and International Myeloma Working Group-cited normal reference interval of 0.26 to 1.65. These results were consistent over the study period and were not affected by sex, age, impaired kidney function, or assay antisera lot variation. Assay drift, in addition to other potential factors, affected the KLR distribution. Using International Statistical Classification of Diseases (ICD) codes, kidney function data, and the central 95% of KLR values generated on the Optilite platform (Thermo Fisher Scientific), we derived a new reference interval of 0.67 to 2.13, reducing the KLR false-positive rate to 8%. However, normal KLR persisted among 16% (14/85) of samples with free λ chains by immunofixation, warranting caution during interpretation.

conclusionsOur analysis indicated that revision of Freelite SFLC reference intervals improves assay interpretation and should prompt reconsideration of Freelite reference intervals worldwide.

Indexed as

Data ScienceMonoclonal Gammopathy of Undetermined SignificanceHumansImmunoglobulin Light ChainsRetrospective StudiesImmunoglobulin Light ChainsFreelitekappa:lambda ratiomonoclonal gammopathymultiple myelomareference intervalserum free light chain assay

Identifiers

PMID37936261
PMCPMC10905508
OpenAlexW4388482804

What OpenQuestion holds

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LicenceCC BY-NC
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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.