Evidence map›Paper›PMID 26553768›Full record

GuidelineJournal of the National Comprehensive Cancer Network : JNCCN2015

Multiple Myeloma, Version 2.2016: Clinical Practice Guidelines in Oncology.

Kenneth C Anderson, Melissa Alsina, Djordje Atanackovic, J Sybil Biermann, Jason C Chandler, Caitlin Costello, Benjamin Djulbegovic, Henry C Fung, Cristina Gasparetto, Kelly Godby and 20 more

Open access · bronzeAbstract readPractice Guideline
In one paragraph

Guideline in Journal of the National Comprehensive Cancer Network : JNCCN, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 4 pooled it
5.9field-weighted citation impact, top 3% 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

41 citing papers in PubMed, 4 syntheses or guidelines pooled it, 71 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Bisphosphonates in multiple myeloma: an updated network meta-analysis.The Cochrane database of systematic reviews · 2017
    Pooled it
  4. Pooled it
  5. Trial
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  9. Review
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  12. Review
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  16. Observational
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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

30 authors at 2 institutions in 2 countries.

Kenneth C Anderson
Melissa Alsina
Djordje Atanackovic
J Sybil Biermann
Jason C Chandler
Caitlin Costello
Benjamin Djulbegovic
Henry C Fung
Cristina Gasparetto
Kelly Godby
Craig Hofmeister
Leona Holmberg
Sarah Holstein
Carol Ann Huff
Adetola Kassim
Amrita Y Krishnan
Shaji K Kumar
Michaela Liedtke
Matthew Lunning
Noopur Raje
Seema Singhal
Clayton Smith
George Somlo
Keith Stockerl-Goldstein
Steven P Treon
Donna Weber
Joachim Yahalom
Dorothy A Shead
Rashmi Kumar
National Comprehensive Cancer Network
Barnes-Jewish Hospital · USUniversity of Utah · US

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
Role of multiple myeloma cancer stem cells in clinical diseaseR01CA174951 · NCI · JOHNS HOPKINS UNIVERSITY · PI HUFF, CAROL A · 2014 to 2018
$2.9M
NCI NIH HHS P50 CA186781NCI NIH HHS R01 CA174951
6 · The paper itself

Abstract

Multiple myeloma (MM) is a malignant neoplasm of plasma cells that accumulate in bone marrow, leading to bone destruction and marrow failure. Recent statistics from the American Cancer Society indicate that the incidence of MM is increasing. The NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) included in this issue address management of patients with solitary plasmacytoma and newly diagnosed MM.

Indexed as

Disease ManagementHumansMultiple Myeloma

Identifiers

PMID26553768
PMCPMC4891187
OpenAlexW2175897615

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.