Evidence map›Paper›PMID 28154088›Full record

ArticleHaematologica2017

A concise revised Myeloma Comorbidity Index as a valid prognostic instrument in a large cohort of 801 multiple myeloma patients.

Monika Engelhardt, Anne-Saskia Domm, Sandra Maria Dold, Gabriele Ihorst, Heike Reinhardt, Alexander Zober, Stefanie Hieke, Corine Baayen, Stefan Jürgen Müller, Hermann Einsele and 4 more

Abstract read
In one paragraph

Article in Haematologica, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 148 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
148citing papers in PubMed, 6 pooled it
–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

148 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  3. How to assess multimorbidity: a systematic review.Frontiers in public health · 2025
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  6. Practical Assessment and Management of Vulnerabilities in Older Patients Receiving Chemotherapy: ASCO Guideline for Geriatric Oncology.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2018
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  16. Melphalan 140 mg/mHaematologica · 2018
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88 more citing papers are in PubMed but not listed here.

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

14 authors.

Monika EngelhardtDepartment of Medicine I, Hematology, Oncology & Stem Cell Transplantation, Medical Center - University of Freiburg, Faculty of Medicine, Germany monika.engelhardt@uniklinik-freiburg.de.
Anne-Saskia DommDepartment of Medicine I, Hematology, Oncology & Stem Cell Transplantation, Medical Center - University of Freiburg, Faculty of Medicine, Germany.
Sandra Maria DoldDepartment of Medicine I, Hematology, Oncology & Stem Cell Transplantation, Medical Center - University of Freiburg, Faculty of Medicine, Germany.
Gabriele IhorstClinical Trials Unit, Medical Center - University of Freiburg, Faculty of Medicine, Germany.
Heike ReinhardtDepartment of Medicine I, Hematology, Oncology & Stem Cell Transplantation, Medical Center - University of Freiburg, Faculty of Medicine, Germany.
Alexander ZoberDepartment of Medicine I, Hematology, Oncology & Stem Cell Transplantation, Medical Center - University of Freiburg, Faculty of Medicine, Germany.
Stefanie HiekeClinical Trials Unit, Medical Center - University of Freiburg, Faculty of Medicine, Germany.
Corine BaayenCenter for Medical Biometry and Statistics, University of Freiburg, Faculty of Medicine, Germany.
Stefan Jürgen MüllerDepartment of Medicine I, Hematology, Oncology & Stem Cell Transplantation, Medical Center - University of Freiburg, Faculty of Medicine, Germany.
Hermann EinseleDepartment of Internal Medicine II, University Hospital, Würzburg, Germany.
Pieter SonneveldDepartment of Hematology, University Rotterdam, The Netherlands.
Ola LandgrenMyeloma Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.
Martin SchumacherCenter for Medical Biometry and Statistics, University of Freiburg, Faculty of Medicine, Germany.
Ralph WäschDepartment of Medicine I, Hematology, Oncology & Stem Cell Transplantation, Medical Center - University of Freiburg, Faculty of Medicine, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With growing numbers of elderly multiple myeloma patients, reliable tools to assess their vulnerability are required. The objective of the analysis herein was to develop and validate an easy to use myeloma risk score (revised Myeloma Comorbidity Index) that allows for risk prediction of overall survival and progression-free survival differences in a large patient cohort. We conducted a comprehensive comorbidity, frailty and disability evaluation in 801 consecutive myeloma patients, including comorbidity risks obtained at diagnosis. The cohort was examined within a training and validation set. Multivariate analysis determined renal, lung and Karnofsky Performance Status impairment, frailty and age as significant risks for overall survival. These were combined in a weighted revised Myeloma Comorbidity Index, allowing for the identification of fit (revised Myeloma Comorbidity Index ≤3 [n=247, 30.8%]), intermediate-fit (revised Myeloma Comorbidity Index 4-6 [n=446, 55.7%]) and frail patients (revised Myeloma Comorbidity Index >6 [n=108, 13.5%]): these subgroups, confirmed

Indexed as

ComorbidityAdultAgedAged, 80 and overCohort StudiesFemaleGeriatric AssessmentHumansKaplan-Meier EstimateMaleMiddle AgedMultiple MyelomaPrognosisProportional Hazards ModelsReproducibility of ResultsRisk Assessment

Identifiers

PMID28154088
PMCPMC5477610

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.