Evidence map›Paper›PMID 30485557›Full record

ArticleJournal of clinical laboratory analysis2019

Serum markers in the differential diagnosis of Waldenstrom macroglobulinemia and other IgM monoclonal gammopathies.

Hong Zou, Rong Yang, Zhong-Xian Liao, Tian-di Qin, Ping Chen, Bei-Ying Zhang, Ying-Ping Cao, Hui-Fang Huang

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 44% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. The performance and applied value ofAmerican journal of nuclear medicine and molecular imaging · 2023
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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

8 authors at 1 institution in 1 country.

Hong ZouClinical Laboratory, Fujian Medical University Union Hospital, Fuzhou, China.
Rong YangDepartment of Medical Record Management, Fujian Medical University Union Hospital, Fuzhou, China.
Zhong-Xian LiaoClinical Laboratory, Fujian Medical University Union Hospital, Fuzhou, China.
Tian-di QinClinical Laboratory, Fujian Medical University Union Hospital, Fuzhou, China.
Ping ChenFujian Provincial Key Laboratory of Hematology, Fujian Institute of Hematology, Fujian Medical University Union Hospital, Fuzhou, China.
Bei-Ying ZhangClinical Laboratory, Fujian Medical University Union Hospital, Fuzhou, China.
Ying-Ping CaoClinical Laboratory, Fujian Medical University Union Hospital, Fuzhou, China.
Hui-Fang HuangThe Central Laboratory, Fujian Medical University Union Hospital, Fuzhou, China.ORCID http://orcid.org/0000-0003-2691-1147
Fujian Medical University · CN

Funding

Fujian Medicine Innovation Program 2017-CX-20Fujian Medicine Innovation Program 2018-CX-18government-funded project of the construction of high-level laboratory Min2017 No.4 FileJoint Funds for the innovation of science and Technology, Fujian province 2017Y9051Joint Funds for the innovation of science and Technology, Fujian province 2017Y91040071
6 · The paper itself

Abstract

backgroundIgM monoclonal gammopathy can be present in a broad spectrum of diseases. We evaluated the value of serum markers in the differential diagnosis of Waldenstrom macroglobulinemia (WM) and other types of IgM monoclonal gammopathies.

methodsWe included patients who were first admitted to hospital and identified as having IgM monoclonal gammopathy by serum immunofixation electrophoresis (sIFE). We evaluated basic clinical features, sIFE, diagnosis, and serum markers. Furthermore, we applied the receiver operating characteristic (ROC) curve to analyze the differential diagnosis value of serum markers for WM. Finally, we used logistic regression and ROC curve to analyze the differential diagnosis value of multimarker combinations to identify WM.

resultsIgM monoclonal gammopathy was most frequently found in patients with Waldenstrom macroglobulinemia, followed by monoclonal gammopathy of undetermined significance (MGUS), B-cell non-Hodgkin Lymphoma (B-NHL), and multiple myeloma (MM). Serum markers showed significant differences among the four diseases. The diagnostic markers LDH, IgM, IgG, IgA, and serum light chain К had higher diagnostic efficiency. Among these markers, serum IgM provided the highest diagnostic efficiency. Additionally, the combined use of all five serum markers provided the most effective diagnosis.

conclusionsThe five serum markers, LDH, IgM, IgG, IgA, and К, each yielded a specific efficacy in differential diagnosis of WM. The single marker with the highest diagnostic efficiency was the serum IgM level. However, a combination of multiple serum markers was better than the use of a single marker in diagnosing WM. The combined use of all five serum markers provided the most effective diagnosis, with an AUC of .952 and sensitivity and specificity of 87.8% and 86.9%, respectively.

Indexed as

BiomarkersDiagnosis, DifferentialHumansImmunoglobulin MParaproteinemiasRetrospective StudiesROC CurveWaldenstrom MacroglobulinemiaBiomarkersImmunoglobulin MIgM monoclonal gammopathylogistic regressionROCserum markersWM

Identifiers

PMID30485557
PMCPMC6818620
OpenAlexW2902716253

What OpenQuestion holds

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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.