Evidence map›Paper›PMID 27538416›Full record

SynthesisCNS drugs2016

Benefit-Risk of Therapies for Relapsing-Remitting Multiple Sclerosis: Testing the Number Needed to Treat to Benefit (NNTB), Number Needed to Treat to Harm (NNTH) and the Likelihood to be Helped or Harmed (LHH): A Systematic Review and Meta-Analysis.

Diogo Mendes, Carlos Alves, Francisco Batel-Marques

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in CNS drugs, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Cost-utility analysis of teriflunomide in naïve vs. previously treated patients with relapsing-remitting multiple sclerosis in Italy.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
    Article
  3. Article
  4. Observational
  5. Review
  6. Article
  7. Article
  8. 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

3 authors at 1 institution in 1 country.

Diogo MendesAIBILI-Association for Innovation and Biomedical Research on Light and Image, CHAD-Centre for Health Technology Assessment and Drug Research, Azinhaga de Santa Comba, Celas, 3000-548, Coimbra, Portugal. diogomendes26@gmail.com.ORCID 0000-0003-4923-8717
Carlos AlvesAIBILI-Association for Innovation and Biomedical Research on Light and Image, CHAD-Centre for Health Technology Assessment and Drug Research, Azinhaga de Santa Comba, Celas, 3000-548, Coimbra, Portugal.
Francisco Batel-MarquesAIBILI-Association for Innovation and Biomedical Research on Light and Image, CHAD-Centre for Health Technology Assessment and Drug Research, Azinhaga de Santa Comba, Celas, 3000-548, Coimbra, Portugal.
Association for Innovation and Biomedical Research on Light and Image · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to test the number needed to treat to benefit (NNTB) and to harm (NNTH), and the likelihood to be helped or harmed (LHH) when assessing benefits, risks, and benefit-risk ratios of disease-modifying treatments (DMTs) approved for relapsing-remitting multiple sclerosis (RRMS).

methodsIn May 2016, we conducted a systematic review using the PubMed and Cochrane Central Register of Controlled Trials databases to identify phase III, randomized controlled trials with a duration of ≥2 years that assessed first-line (dimethyl fumarate [DMF], glatiramer acetate [GA], β-interferons [IFN], and teriflunomide) or second-line (alemtuzumab, fingolimod, and natalizumab) DMTs in patients with RRMS. Meta-analyses were performed to estimate relative risks (RRs) on annualized relapse rate (ARR), proportion of relapse-free patients (PPR-F), disability progression (PP-F-CDPS3M), and safety outcomes. NNTB and NNTH values were calculated applying RRs to control event rates. LHH was calculated as NNTH/NNTB ratio.

resultsThe lowest NNTBs on ARR, PPR-F, and PP-F-CDPS3M were found with IFN-β-1a-SC (NNTB 3, 95 % CI 2-4; NNTB 7, 95 % CI 4-18; NNTB 4, 95 % CI 3-7, respectively) and natalizumab (NNTB 2, 95 % CI 2-3; NNTB 4, 95 % CI 3-6; NNTB 9, 95 % CI 6-19, respectively). The lowest NNTH on adverse events leading to treatment discontinuation was found with IFN-β-1b (NNTH 14, 95 % 2-426) versus placebo; a protective effect was noted with alemtuzumab versus IFN-β-1a-SC (NNTB 22, 95 % 17-41). LHHs >1 were more frequent with IFN-β-1a-SC and natalizumab.

conclusionsThese metrics may be valuable for benefit-risk assessments, as they reflect baseline risks and are easily interpreted. Before making treatment decisions, clinicians must acknowledge that a higher RR reduction with drug A as compared with drug B (versus a common comparator in trial A and trial B, respectively) does not necessarily mean that the number of patients needed to be treated for one patient to encounter one aditional outcome of interest over a defined period of time is lower with drug A than with drug B. Overall, IFN-β-1a-SC and natalizumab seem to have the most favorable benefit-risk ratios among first- and second-line DMTs, respectively.

Indexed as

Risk AssessmentHumansImmunologic FactorsMultiple Sclerosis, Relapsing-RemittingImmunologic Factors

Identifiers

PMID27538416
OpenAlexW2511657079

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.