Evidence map›Paper›PMID 31612526›Full record

ArticleAmerican journal of hematology2020

Hematopoietic score predicts outcomes in newly diagnosed multiple myeloma patients.

Abdullah S Al Saleh, M Hasib Sidiqi, Angela Dispenzieri, Prashant Kapoor, Eli Muchtar, Francis K Buadi, Rahma Warsame, Martha Q Lacy, David Dingli, Nelson Leung and 7 more

Abstract read
In one paragraph

Article in American journal of hematology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
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

17 authors.

Abdullah S Al SalehDivision of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0003-1111-556X
M Hasib SidiqiDivision of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0003-1089-3853
Angela DispenzieriDivision of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0001-8780-9512
Prashant KapoorDivision of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota.
Eli MuchtarDivision of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota.
Francis K BuadiDivision of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota.
Rahma WarsameDivision of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0003-0240-0326
Martha Q LacyDivision of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota.
David DingliDivision of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota.
Nelson LeungDivision of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-5651-1411
Wilson I GonsalvesDivision of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0001-6890-969X
Taxiarchis V KourelisDivision of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0001-8573-9434
Morie A GertzDivision of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-3853-5196
Ronald S GoDivision of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota.
Robert A KyleDivision of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota.
S Vincent RajkumarDivision of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-5862-1833
Shaji K KumarDivision of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota.

Funding

Project 4: Targeting Resistance to T-Cell Directed Therapy in Multiple MyelomaP50CA186781 · NCI · MAYO CLINIC ARIZONA · PI Rafael Fonseca · 2015 to 2026
$25.5M
NCI NIH HHS P50 CA186781
6 · The paper itself

Abstract

Risk stratification of multiple myeloma (MM) at diagnosis is critical. We examined the ability of hematopoietic indices including mean corpuscular volume (MCV), hemoglobin (Hgb), and platelet (Plt) to predict outcomes. This was a retrospective study of patients treated at Mayo Clinic between January 2004 and April 2018. We incorporated three variables (Hgb < 10 g/dL, Plt < 150 × 10

Indexed as

Erythrocyte IndicesPlatelet CountAdultAgedAge FactorsFemaleHumansMaleMiddle AgedMultiple MyelomaNeoplasm StagingPrognosisRetrospective StudiesSurvival Analysis

Identifiers

PMID31612526
PMCPMC7377299

What OpenQuestion holds

Textmetadata
LicenceTDM
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.