Evidence map›Paper›PMID 21110028›Full record

Trial reportRheumatology international2012

A proposal of simple calculation (ERI calculator) to predict the early response to TNF-α blockers therapy in rheumatoid arthritis.

Laura Bazzichi, Paolo Rossi, Camillo Giacomelli, Francesca De Feo, Francesca Bobbio-Pallavicini, Alessandra Rossi, Chiara Baldini, Arianna Consensi, Marica Doveri, Claudia Bonino and 4 more

Abstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in Rheumatology international, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. 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

14 authors at 2 institutions in 1 country.

Laura BazzichiDepartment of Internal Medicine, Division of Rheumatology, University of Pisa, Via Roma, 67, 56100 Pisa, Italy. l.bazzichi@int.med.unipi.it
Paolo Rossi
Camillo Giacomelli
Francesca De Feo
Francesca Bobbio-Pallavicini
Alessandra Rossi
Chiara Baldini
Arianna Consensi
Marica Doveri
Claudia Bonino
Maurizio Mazzantini
Alessandra Della Rossa
Carlomaurizio Montecucco
Stefano Bombardieri
University of Pisa · ITIstituti di Ricovero e Cura a Carattere Scientifico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing evidence has been accumulated for treating rheumatoid arthritis (RA) with TNF-α blocking agents. The formulation and definition of an early indicator of patient's reactivity during therapy may be extremely simplified by a mathematical model of clinical response. We analyzed the most significant clinical and laboratory parameters of response of 35 homogeneous patients (30 women, 5 men mean age ± SD: 52.31 ± 12.30 years) treated with adalimumab 40 mg every 2 weeks associated with methotrexate (MTX) 10-15 mg/week and with a stable dosage of steroids for 30 weeks. The over time trend of the studied parameters showed a linear response, which has allowed the realization of a simple mathematical model. The formula derived from this mathematical model was then applied and therefore validated in a group of 121 patients previously treated with several anti-TNF-alpha agents for at least 6 months. We drafted a mathematical model (early response indicator, ERI) that, by using a simple calculation, allows us to identify a high percentage of responder patients after only 2 weeks of treatment. ERI identified a high percentage (88%) of patients responding after only 2 weeks, as was confirmed at weeks 30; the use of ERI calculation after 6 weeks increases the proportion of responding patients to 92% with a percentage of false negatives of only 12%. ERI could be a useful tool to early differentiate the responder from the non-responder patients.

Indexed as

Models, ImmunologicalAdalimumabAdultAgedAntibodies, Monoclonal, HumanizedAntirheumatic AgentsArthritis, RheumatoidFemaleHumansMaleMiddle AgedPredictive Value of TestsTime FactorsTumor Necrosis Factor-alphaAdalimumabAntibodies, Monoclonal, HumanizedAntirheumatic AgentsTumor Necrosis Factor-alpha

Identifiers

PMID21110028
OpenAlexW2154348588

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.