Evidence map›Paper›PMID 38788183›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2024

Simplified Risk Stratification Model for Patients With Waldenström Macroglobulinemia.

Saurabh Zanwar, Jennifer Le-Rademacher, Eric Durot, Shirley D'Sa, Jithma P Abeykoon, Patrizia Mondello, Shaji Kumar, Shayna Sarosiek, Jonas Paludo, Saurabh Chhabra and 15 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

25 authors.

Saurabh ZanwarDivision of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN.ORCID 0000-0001-5074-8453
Jennifer Le-RademacherDivision of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN.ORCID 0000-0002-2234-7430
Eric DurotDepartment of Hematology, University Hospital of Reims and UFR Médecine, Reims, France.ORCID 0000-0003-3463-0089
Shirley D'SaUniversity College of London, London, United Kingdom.
Jithma P AbeykoonDivision of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN.ORCID 0000-0003-3939-6252
Patrizia MondelloDivision of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN.ORCID 0000-0002-0355-3757
Shaji KumarDivision of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN.ORCID 0000-0001-5392-9284
Shayna SarosiekDana-Farber Cancer Institute, Boston, MA.ORCID 0000-0002-0075-6735
Jonas PaludoDivision of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN.ORCID 0000-0002-7350-5531
Saurabh ChhabraDivision of Hematology, Mayo Clinic, Scottsdale, AZ.
Joselle M CookDivision of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN.
Ricardo ParrondoDivision of Hematology, Mayo Clinic, Jacksonville, FL.ORCID 0000-0002-9314-9933
Angela DispenzieriDivision of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN.ORCID 0000-0001-8780-9512
Wilson I GonsalvesDivision of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN.
Eli MuchtarDivision of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN.ORCID 0000-0003-2210-2174
Sikandar AilawadhiDivision of Hematology, Mayo Clinic, Jacksonville, FL.ORCID 0000-0002-8377-8111
Robert A KyleDivision of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN.ORCID 0000-0003-4763-4580
S Vincent RajkumarDivision of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN.
Alain DelmerDepartment of Hematology, University Hospital of Reims and UFR Médecine, Reims, France.ORCID 0000-0002-1430-2574
Rafael FonsecaDivision of Hematology, Mayo Clinic, Scottsdale, AZ.
Morie A GertzDivision of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN.ORCID 0000-0002-3853-5196
Steven P TreonDana-Farber Cancer Institute, Boston, MA.ORCID 0000-0001-6393-6154
Stephen M AnsellDivision of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN.ORCID 0000-0003-1244-6758
Jorge J CastilloDana-Farber Cancer Institute, Boston, MA.ORCID 0000-0001-9490-7532
Prashant KapoorDivision of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN.ORCID 0000-0002-4342-364X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePatients with Waldenström macroglobulinemia (WM) have disparate outcomes. Newer therapies have emerged since the development of International Prognostic Scoring System, and PATIENTS AND

methodsWe reviewed records of 889 treatment-naïve patients with active WM, consecutively seen between January 01, 1996, and December 31, 2017, to identify clinical predictors of overall survival (OS) in univariate analyses. Patients with complete data for the parameters significant on the univariate analyses (n = 341) were included in a multivariable analysis to derive a prognostic model, subsequently validated in a multi-institutional cohort.

resultsIn the derivation cohort (n = 341), age (hazard ratio [HR], 1.9 [95% CI, 1.2 to 2.1];

conclusionModified Staging System for WM (MSS-WM), utilizing age, albumin, and LDH is a simple, clinically useful, and externally validated prognostic model that reliably risk-stratifies patients with symptomatic WM into four groups with distinct prognosis.

Indexed as

Waldenstrom MacroglobulinemiaAgedAged, 80 and overFemaleHumansL-Lactate DehydrogenaseMaleMiddle AgedPrognosisRetrospective StudiesRisk AssessmentL-Lactate Dehydrogenase

Identifiers

PMID38788183
PMCPMC11268554

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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.