Evidence map›Paper›PMID 36355434›Full record

Trial reportJCI insight2022

Machine-learning classification identifies patients with early systemic sclerosis as abatacept responders via CD28 pathway modulation.

Bhaven K Mehta, Monica E Espinoza, Jennifer M Franks, Yiwei Yuan, Yue Wang, Tammara Wood, Johann E Gudjonsson, Cathie Spino, David A Fox, Dinesh Khanna and 1 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JCI insight, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-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.

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, 10 citations in OpenAlex.

  1. Review
  2. Article
  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

11 authors at 2 institutions in 1 country.

Bhaven K MehtaDepartment of Biomedical Data Science, Department of Molecular & Systems Biology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA.
Monica E EspinozaDepartment of Biomedical Data Science, Department of Molecular & Systems Biology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA.
Jennifer M FranksDepartment of Biomedical Data Science, Department of Molecular & Systems Biology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA.
Yiwei YuanDepartment of Biomedical Data Science, Department of Molecular & Systems Biology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA.
Yue WangDepartment of Biomedical Data Science, Department of Molecular & Systems Biology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA.
Tammara WoodDepartment of Biomedical Data Science, Department of Molecular & Systems Biology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA.
Johann E GudjonssonDepartment of Dermatology, Department of Medicine, Clinical Autoimmunity Center of Excellence and University of Michigan Scleroderma Program, University of Michigan, Ann Arbor, Michigan, USA.
Cathie SpinoDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.
David A FoxDivision of Rheumatology, Department of Medicine, Clinical Autoimmunity Center of Excellence and University of Michigan Scleroderma Program, University of Michigan, Ann Arbor, Michigan, USA.
Dinesh KhannaDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.
Michael L WhitfieldDepartment of Biomedical Data Science, Department of Molecular & Systems Biology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA.
Dartmouth College · USUniversity of Michigan · US

Funding

IMMUNOBIOLOGY OF MYELOID AND LYMPHOID CELLST32AI007363 · NIAID · DARTMOUTH COLLEGE · PI Claudia V Jakubzick · 1990 to 2026
$9.5M
University of Michigan Skin Biology and Diseases Resource-based CenterP30AR075043 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Johann Eli Gudjonsson · 2019 to 2026
$6.6M
TRAINING OF ARTHRITIS RESEARCH SCIENTISTST32AR007080 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jason Knight · 1986 to 2026
$6.3M
Outcomes Research in Rheumatic DiseasesK24AR063120 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KHANNA, DINESH · 2012 to 2022
$1.6M
Quantitative Biomedical Sciences at DartmouthT32LM012204 · NLM · DARTMOUTH COLLEGE · PI TOSTESON, TOR D · 2016 to 2020
$876k
Systemic Sclerosis-Associated Interstitial Lung Disease Response IndexR01AR070470 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KHANNA, DINESH · 2017 to 2019
$642k
University of Michigan Clinical Autoimmunity Center of ExcellenceUM1AI144298 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FOX, DAVID ALAN, KHANNA, DINESH · 2019 to 2023
$546k
NIAID NIH HHS T32 AI007363NIAID NIH HHS UM1 AI144298NIAMS NIH HHS K24 AR063120NIAMS NIH HHS P30 AR075043NIAMS NIH HHS R01 AR070470NIAMS NIH HHS T32 AR007080
6 · The paper itself

Abstract

Here, the efficacy of abatacept in patients with early diffuse systemic sclerosis (dcSSc) was analyzed to test the hypothesis that patients in the inflammatory intrinsic subset would show the most significant clinical improvement. Eighty-four participants with dcSSc were randomized to receive abatacept or placebo for 12 months. RNA-Seq was performed on 233 skin paired biopsies at baseline and at 3 and 6 months. Improvement was defined as a 5-point or more than 20% change in modified Rodnan skin score (mRSS) between baseline and 12 months. Samples were assigned to intrinsic gene expression subsets (inflammatory, fibroproliferative, or normal-like subsets). In the abatacept arm, change in mRSS was most pronounced for the inflammatory and normal-like subsets relative to the placebo subset. Gene expression for participants on placebo remained in the original molecular subset, whereas inflammatory participants treated with abatacept had gene expression that moved toward the normal-like subset. The Costimulation of the CD28 Family Reactome Pathway decreased in patients who improved on abatacept and was specific to the inflammatory subset. Patients in the inflammatory subset had elevation of the Costimulation of the CD28 Family pathway at baseline relative to that of participants in the fibroproliferative and normal-like subsets. There was a correlation between improved ΔmRSS and baseline expression of the Costimulation of the CD28 Family pathway. This study provides an example of precision medicine in systemic sclerosis clinical trials.

Indexed as

Scleroderma, DiffuseScleroderma, SystemicAbataceptCD28 AntigensHumansSkinAbataceptCD28 AntigensAutoimmunityClinical TrialsExpression profilingFibrosisSkin

Identifiers

PMID36355434
PMCPMC9869963
OpenAlexW4308684497

What OpenQuestion holds

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LicenceCC BY
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.