Evidence map›Paper›PMID 36350330›Full record

ArticleCPT: pharmacometrics & systems pharmacology2023

Disease trajectory of SLE clinical endpoints and covariates affecting disease severity and probability of response: Analysis of pooled patient-level placebo (Standard-of-Care) data to enable model-informed drug development.

Kosalaram Goteti, Jonathan French, Ramon Garcia, Ying Li, Florence Casset-Semanaz, Aida Aydemir, Robert Townsend, Cristina Vazquez Mateo, Matthew Studham, Oliver Guenther and 5 more

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2023. 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
–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

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

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

15 authors.

Kosalaram GotetiEMD Serono Research and Development Institute, Inc (an affiliate of Merck KGaA, Darmstadt Germany), Billerica, Massachusetts, USA.ORCID 0000-0002-8971-8283
Jonathan FrenchMetrum Research Group, Tariffville, Connecticut, USA.ORCID 0000-0001-9649-169X
Ramon GarciaMetrum Research Group, Tariffville, Connecticut, USA.
Ying LiEMD Serono Research and Development Institute, Inc (an affiliate of Merck KGaA, Darmstadt Germany), Billerica, Massachusetts, USA.
Florence Casset-SemanazEMD Serono Research and Development Institute, Inc (an affiliate of Merck KGaA, Darmstadt Germany), Billerica, Massachusetts, USA.
Aida AydemirEMD Serono Research and Development Institute, Inc (an affiliate of Merck KGaA, Darmstadt Germany), Billerica, Massachusetts, USA.
Robert TownsendEMD Serono Research and Development Institute, Inc (an affiliate of Merck KGaA, Darmstadt Germany), Billerica, Massachusetts, USA.
Cristina Vazquez MateoEMD Serono Research and Development Institute, Inc (an affiliate of Merck KGaA, Darmstadt Germany), Billerica, Massachusetts, USA.
Matthew StudhamEMD Serono Research and Development Institute, Inc (an affiliate of Merck KGaA, Darmstadt Germany), Billerica, Massachusetts, USA.
Oliver GuentherMerck KGaA, Darmstadt, Germany.
Amy KaoEMD Serono Research and Development Institute, Inc (an affiliate of Merck KGaA, Darmstadt Germany), Billerica, Massachusetts, USA.
Marc GastonguayMetrum Research Group, Tariffville, Connecticut, USA.ORCID 0000-0002-5725-5835
Pascal GirardMerck Institute of Pharmacometrics, Lausanne, Switzerland.
Lisa BenincosaEMD Serono Research and Development Institute, Inc (an affiliate of Merck KGaA, Darmstadt Germany), Billerica, Massachusetts, USA.
Karthik VenkatakrishnanEMD Serono Research and Development Institute, Inc (an affiliate of Merck KGaA, Darmstadt Germany), Billerica, Massachusetts, USA.ORCID 0000-0003-4039-9813

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic lupus erythematosus (SLE) is an autoimmune disease affecting multiple organ systems. Many investigational agents have failed or shown only modest effects when added to standard of care (SoC) therapy in placebo-controlled trials, and only two therapies have been approved for SLE in the last 60 years. Clinical trial outcomes have shown discordance in drug effects between clinical endpoints. Herein, we characterized longitudinal disease activity in the SLE population and the sources of variability by developing a latent disease trajectory model for SLE component endpoints (Systemic Lupus Erythematosus Disease Activity Index [SLEDAI], Physician's Global Assessment [PGA], British Isles Lupus Assessment Group Index [BILAG]) and composite endpoints (Systemic Lupus Erythematosus Responder Index [SRI], BILAG-based Composite Lupus Assessment [BICLA], and Lupus Low Disease Activity State [LLDAS]) using patient-level historical SoC data from nine phase II and III studies. Across all endpoints, in predictions up to 52 weeks from the final disease trajectory model, the following baseline covariates were associated with a greater decrease in SLE disease activity and higher response to placebo + SoC: Hispanic ethnicity from Central/South America, absence of hypocomplementemia, recent SLE diagnosis, and high baseline disease activity score using SLEDAI and BILAG separately. No discernible differences were observed in the trajectory of response to placebo + SoC across different SoC medications (antimalarial and immunosuppressant such as mycophenolate, methotrexate, and azathioprine). Across all endpoints, disease trajectory showed no difference in Asian versus non-Asian patients, supporting Asia-inclusive global SLE drug development. These results describe the first population approach to support a model-informed drug development framework in SLE.

Indexed as

Antibodies, Monoclonal, HumanizedLupus Erythematosus, SystemicHumansImmunosuppressive AgentsPatient AcuityProbabilitySeverity of Illness IndexTreatment OutcomeAntibodies, Monoclonal, HumanizedImmunosuppressive Agents

Identifiers

PMID36350330
PMCPMC9931431

What OpenQuestion holds

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Registered trials

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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.