Evidence map›Paper›PMID 31701679›Full record

Observational studyCancer medicine2020

Connect MM Registry as a national reference for United States multiple myeloma patients.

Sikander Ailawadhi, Sundar Jagannath, Mohit Narang, Robert M Rifkin, Howard R Terebelo, Kathleen Toomey, Brian G M Durie, James W Hardin, Cristina J Gasparetto, Lynne Wagner and 7 more

Registry-linked trialOpen access · goldAbstract readObservational StudyValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01081028 (Connect® MM- The Multiple Myeloma Disease Registry), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 18% 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.

NCT01081028 terminatednot on this map

Connect® MM- The Multiple Myeloma Disease Registry

Typeobservational_patient_registrySponsorCelgeneRan2009 to 2024Enrolled3,011ConditionsMultiple MyelomaArmsFirst-line therapy, Second-line Multiple Myeloma treatments
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Observational
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 at 11 institutions in 1 country.

Sikander AilawadhiMayo Clinic, Jacksonville, FL, USA.ORCID 0000-0002-8377-8111
Sundar JagannathMount Sinai Hospital, New York, NY, USA.
Mohit NarangUS Oncology Research, Columbia, MD, USA.
Robert M RifkinRocky Mountain Cancer Centers US Oncology, Denver, CO, USA.
Howard R TerebeloProvidence Cancer Institute, Southfield, MI, USA.
Kathleen ToomeySteeplechase Cancer Center, Somerville, NJ, USA.
Brian G M DurieCedars-Sinai Medical Center, Los Angeles, CA, USA.
James W HardinUniversity of South Carolina, Columbia, SC, USA.
Cristina J GasparettoDuke University Medical Center, Durham, NC, USA.
Lynne WagnerWake Forest School of Medicine, Winston-Salem, NC, USA.ORCID 0000-0001-9685-4796
James L OmelMyeloma Research Advocate/Advisor, Grand Island, NE, USA.
Vivek KumarBrigham and Women's Hospital, Boston, MA, USA.ORCID 0000-0003-4379-5651
Lihua YueCelgene Corporation, Summit, NJ, USA.
Amani KitaliCelgene Corporation, Summit, NJ, USA.
Amit AgarwalCelgene Corporation, Summit, NJ, USA.
Rafat AbonourIndiana University, Indianapolis, IN, USA.
Connect MM Registry Investigators
Brigham and Women's Hospital · USCedars-Sinai Medical Center · USDuke Medical Center · USIndiana University Indianapolis · USJacksonville College · USMount Sinai Hospital · USProvidence Hospital · USRocky Mountain Cancer Centers · USSomerville Hospital · USUniversity of South Carolina · USWake Forest University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Surveillance, Epidemiology, and End Results (SEER) database and National Cancer Database (NCDB) show improved overall survival (OS) in patients with multiple myeloma (MM) over the last 15 years. This analysis evaluated the validity of the largely community-based Connect MM Registry as a national reference for MM.

methodsBaseline disease characteristics and survival in US newly diagnosed MM patients were examined using the Connect MM Registry as well as SEER and NCDB databases. Baseline characteristics predictive of longer survival in Connect MM were also identified.

resultsAs of February 2017, 3011 patients were enrolled in the Connect MM Registry; 2912 were treated. Median age at time of MM diagnosis and age range were numerically similar from 2010 to 2015 across all 3 registries; SEER had a higher representation of nonwhite racial groups than that in the other 2 registries. OS rates suggest proportionate improvement with year of diagnosis among the 3 registries. A Cox proportional hazards model suggests that younger age (<65 years) is associated with longer survival (vs ≥75; HR, 0.39; 95% confidence interval, 0.34-0.46) in the Connect MM Registry. However, sex (HR, 0.91; P = .15) and race (black vs white; HR, 0.88; P = .21) were not associated with longer OS.

conclusionsData from the Connect MM Registry appear to be largely representative of national trends, comprehensive, and reliable representations of the national MM population. Baseline characteristics were comparable, and survival similarly improved over time among the 3 registries. CLINICALTRIALS. GOV, IDENTIFIER: NCT01081028.

Indexed as

AdultAgedAged, 80 and overDatabases, FactualFemaleFollow-Up StudiesHumansMaleMiddle AgedMultiple MyelomaProportional Hazards ModelsPuerto RicoRegistriesReproducibility of ResultsSEER ProgramSurvival Ratemultiple myelomaregistriessurvival

Identifiers

PMID31701679
PMCPMC6943143
OpenAlexW2988421915

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.