Evidence map›Paper›PMID 22215043›Full record

ArticleRheumatology international2013

Early diagnosis of rheumatoid arthritis: an introduction to the newly designed Iran Criteria for Rheumatoid Arthritis.

Iraj Salehi, Shabnam Khazaeli, Mohammad Khak

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Rheumatology international, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

3 authors.

Iraj SalehiRheumatology Research Center, Amir Álam Hospital, Tehran University of Medical Sciences, No 29, 6th Alley, Ghaem-magham St., P.O.Box: 13185-1678, Tehran, Iran. salehiabari@sina.tums.ac.ir
Shabnam Khazaeli
Mohammad Khak

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

More than 14 years of clinical practice in rheumatology led the author to discover the prognostic role of anti-citrullinated protein antibody (ACPA) as well as the erosions found by MRI, in detecting the RA patients resulting in establishing a new set of criteria by revising the 1987 ACR classification-Iran Criteria for Rheumatoid Arthritis. Medical records of 243 patients at the outpatient Rheumatology Clinic of the author (private sector) were reviewed for the data on the criteria of the 1987 ACR, 2010 ACR/European League against Rheumatism (EULAR), and Iran Criteria for RA. In addition to modifying the 1987 ACR classification, Iran Criteria for RA adds some additional information to the ACR criteria (including ACPA and bony erosions detected by MRI), and any patient who satisfies 6 out of 12 points is considered as a definite RA patient. Sensitivity of the three classifications was calculated considering the clinical diagnosis by a single rheumatologist as the gold standard. A total of 63 male and 180 female patients with a mean follow-up duration of 28.24 ± 50.19 months were considered. Mean age at diagnosis and mean disease duration were 49.16 ± 15.38 years and 7.04 ± 6.87 months, respectively. The sensitivity for Iran Criteria for RA, 1987 ACR classification, and 2010 ACR/EULAR criteria were calculated as 98.4, 59.7, and 66.3%, respectively. Comparing Iran Criteria for RA with ACR and ACR/EULAR criteria, it was concluded that our newly introduced criteria is a more sensitive instrument in determining RA patients in the early stages of the disease.

Indexed as

Cross-Cultural ComparisonCultural CharacteristicsAge FactorsAlgorithmsArthritis, RheumatoidAutoantibodiesBiomarkersDisease ProgressionEarly DiagnosisFemaleHumansIranJointsMagnetic Resonance ImagingMaleMiddle AgedAutoantibodiesBiomarkerscyclic citrullinated peptidePeptides, Cyclic

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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.