Evidence map›Paper›PMID 32327161›Full record

SynthesisValue in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research2020

Critical Appraisal of Published Indirect Comparisons and Network Meta-Analyses of Competing Interventions for Multiple Myeloma.

Shannon Cope, Kabirraaj Toor, Evan Popoff, Rafael Fonseca, Ola Landgren, María-Victoria Mateos, Katja Weisel, Jeroen Paul Jansen

Open access · greenAbstract readComparative StudySystematic ReviewNetwork Meta-Analysis
In one paragraph

Synthesis in Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Review
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

8 authors at 6 institutions in 4 countries.

Shannon CopePrecision Health Economics and Outcomes Research, Vancouver, BC, Canada.
Kabirraaj ToorPrecision Health Economics and Outcomes Research, Vancouver, BC, Canada. Electronic address: kabirraaj.toor@precisionxtract.com.
Evan PopoffPrecision Health Economics and Outcomes Research, Vancouver, BC, Canada.
Rafael FonsecaDivision of Hematology and Oncology, Mayo Clinic, Phoenix, AZ, USA.
Ola LandgrenMyeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
María-Victoria MateosUniversity Hospital of Salamanca-Instituto de Investigacion Biomedica de Salamanca, Salamanca, Spain.
Katja WeiselDepartment of Hematology and Oncology, University Hospital of Tuebingen, Tuebingen, Germany.
Jeroen Paul JansenPrecision Health Economics and Outcomes Research, Oakland, CA, USA.
Centre for Health Evaluation and Outcome Sciences · CAHealth Outcomes Solutions (United States) · USInstituto de Investigación Biomédica de Salamanca · ESMayo Clinic in Florida · USMemorial Sloan Kettering Cancer Center · USUniversity of Tübingen · DE

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

objectivesIn the field of relapsed or refractory multiple myeloma (RRMM), between-trial or indirect comparisons are required to estimate relative treatment effects between competing interventions based on the available evidence. Two approaches are frequently used in RRMM: network meta-analysis (NMA) and unanchored matching-adjusted indirect comparison (MAIC). The objective of the current study was to evaluate the relevance and credibility of published NMA and unanchored MAIC studies aiming to estimate the comparative efficacy of treatment options for RRMM.

methodsTwelve relevant studies were identified in the published literature (n = 7) and from health technology assessment agencies (n = 5). Data from trials were extracted to identify between-trial differences that may have biased results. Credibility of the performed analyses and relevance of the research questions were critically appraised using the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) checklist and feedback based on consultations with clinical experts.

resultsThe identified studies concerned NMAs of randomized controlled trials (RCTs; n = 7), unanchored MAICs (n = 4), or both types of analyses (n = 1). According to clinical expert consultation, the majority of the identified NMAs did not consider differences in prior therapies or treatment duration across the RCTs included in the analyses, thereby compromising the relevance.

conclusionBased on the results and feedback from clinicians, the majority of NMAs did not consider prior treatment history or treatment duration, which resulted in nonrelevant comparisons. Furthermore, it may have compromised the credibility of the estimates owing to differences in effect-modifiers between the different trials. Pairwise comparisons by means of unanchored MAICs require clear justification given the reliance on non-randomized comparisons.

Indexed as

Outcome Assessment, Health CareAntineoplastic AgentsEconomics, PharmaceuticalHumansMultiple MyelomaRandomized Controlled Trials as TopicTechnology Assessment, BiomedicalAntineoplastic Agents

Identifiers

PMID32327161
PMCPMC7480667
OpenAlexW3015554102

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.