Evidence map›Paper›PMID 36485159›Full record

ArticleHematology. American Society of Hematology. Education Program2022

High or low? Assessing disease risk in multiple myeloma.

Timothy Martin Schmidt

Abstract read
In one paragraph

Article in Hematology. American Society of Hematology. Education Program, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

1 author.

Timothy Martin SchmidtDepartment of Medicine, Division of Hematology, Oncology, and Palliative Care, University of Wisconsin, Madison, WI.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based upon the development of highly effective therapies such as immunomodulatory drugs, proteasome inhibitors, and monoclonal antibodies that target plasma cell biology, a dramatic improvement in overall survival has been observed for most patients with multiple myeloma (MM) over the past 2 decades. Although it is now commonplace for many patients with myeloma to live in excess of 10 years after diagnosis, unfortunately a large subset of patients continues to experience an aggressive disease course marked by substantial morbidity and early mortality. Many clinical biomarkers and staging systems in use today can help with prognostication, but accurate risk assessment can be difficult due to the presence of many different biomarkers with variable prognostic value. Furthermore, with the implementation of novel therapies and unprecedented rates of deep and durable responses, it is becoming apparent that risk assessment is best envisioned as a dynamic process that requires ongoing reevaluation. As risk and response-adapted approaches are becoming more commonplace, it is essential that clinicians understand the biological and prognostic implications of clinical, genomic, and response-based biomarkers in order to promote management strategies that will help improve both survival and quality of life for patients across the risk spectrum.

Indexed as

Multiple MyelomaAntibodies, MonoclonalHumansPlasma CellsProteasome InhibitorsQuality of LifeAntibodies, MonoclonalProteasome Inhibitors

Identifiers

PMID36485159
PMCPMC9820796

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.