Evidence map›Paper›PMID 32840702›Full record

ArticleClinical rheumatology2021

Design of an algorithm for the diagnostic approach of patients with joint pain.

Daniel G Fernández-Ávila, María Ximena Rojas, Sergio A Mora, Paola Varela Rojas, Lucía Vanegas-García, Ana María Sapag-Durán, Andrés Alberto Hormaza, Andres Ricardo Fernández, Antonio Cachafeiro-Vilar, Belia Lucía Meléndez and 33 more

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Article in Clinical rheumatology, 2021. 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
0.4field-weighted citation impact, top 36% 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, 6 citations in OpenAlex.

  1. Review
  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

43 authors at 20 institutions in 14 countries.

Daniel G Fernández-ÁvilaPhD. Program in Clinical Epidemiology, Department of Clinical Epidemiology and Biostatistic, School of Medicine, Pontificia Universidad Javeriana-Hospital Universitario San Ignacio, Carrera 7 No. 40 - 62, Bogotá, Colombia. daniel.fernandez@javeriana.edu.co.ORCID http://orcid.org/0000-0003-1490-1822
María Ximena RojasDepartment of Clinical Epidemiology and Biostatistic, Medicine Faculty, Pontificia Universidad Javeriana, Bogotá, Colombia.
Sergio A MoraHospital Universitario de La Samaritana, Universidad de La Sabana, Bogotá, Colombia.
Paola Varela RojasOrganización Keralty - EPS Sánitas, Bogotá, Colombia.
Lucía Vanegas-GarcíaHospital Universitario San Vicente Fundación - Grupo de Reumatología, Universidad de Antioquia, Medellín, Colombia.
Ana María Sapag-DuránHospital Universitario Japonés, Santa Cruz, Bolivia.
Andrés Alberto HormazaFundación Valle de Lili, Cali, Colombia.
Andres Ricardo FernándezAsociación Colombiana de Reumatología - INMUNAR S.A.S, Medellín, Colombia.
Antonio Cachafeiro-VilarPacífica Salud - Hospital Punta Pacífica, Panama City, Panamá.
Belia Lucía MeléndezHospital de la Policía Nacional N1 Quito, Quito, Ecuador.
Carlo V Caballero-UribeUniversidad del Norte, Barranquilla, Colombia.
Carlos Enrique Toro-GutiérrezCentro de Referencia en Osteoporosis y Reumatología, Cali, Colombia.
Daniel Rubén Palleiro-RiveroInstituto Nacional de Reumatología del Uruguay, Universidad de la República, Montevideo, Uruguay.
Diego Alejandro Jaimes-FernándezClinicos IPS, Universidad de La Sabana, Bogotá, Colombia.
Dina Maria ArrietaHospital México, San José, Costa Rica.
Fausto ÁlvarezPrivacy Practice, Tunja, Colombia.
Gineth Paola Pinto-PatarroyoArthritis and Osteoporosis Center of Northern Virginia, Manassas, USA.
Guillermo Andrés QuicenoSouthwestern Medical Center, University of Texas, Dallas, USA.
Guillermo Pons-EstelCentro Regional de Enfermedades Autoinmunes y Reumáticas CREAR, Hospital Provincial de Rosario, Rosario, Argentina.
Jose A Gómez PuertaHospital Clínic, Barcelona, Spain.
Jossiell Then BáezHospital Metropolitano de Santiago (HOMS), Santiago, Dominican Republic.
Juan Manuel Bello-GualteroHospital Militar Central, Universidad Militar Nueva Granada, Bogotá, Colombia.
Juan Martín GutiérrezHospital Universitario San Ignacio, Pontificia Universidad Javeriana, Bogotá, Colombia.
Juan Sebastian SeguraClínica Mediláser, Neiva, Colombia.
Leandro Gabriel FerreyraHospital Italiano de Buenos Aires, Buenos Aires, Argentina.
Lilith StangeCentro de Artritis Reumatoide - Clínica Ciudad del Mar, Viña del Mar, Chile.
Lina Maria SaldarriagaHospital Universitario San Jorge, Universidad Tecnológica de Pereira, Pereira, Colombia.
Manuel Francisco Ugarte-GilHospital Nacional Guillermo Almenara Irigoyen, EsSalud - Universidad Científica del Sur, Lima, Peru.
Mario H CardielCentro de Investigación Clínica de Morelia, Morelia, Mexico.
Mario Javier MorenoHospital General Luis Vernaza, Universidad de Especialidades Espíritu Santo, Guayaquil, Ecuador.
Maritza QuinteroInstituto Autónomo Hospital Universitario de Los Andes, Universidad de Los Andes, Mérida, Venezuela.
Marlon B PorrasOrganización Keralty - EPS Sánitas, Bucaramanga, Colombia.
Nelly ColmanHospital de Clínicas, Universidad Nacional de Asunción, Asunción, Paraguay.
Nilmo Noel ChávezInstituto Guatemalteco de Seguridad Social, Guatemala City, Guatemala.
Oscar Orlando RuizOrganización Keralty - EPS Sánitas, Bogotá, Colombia.
Paul Méndez-PatarroyoFundación Santafé de Bogotá, Universidad de Los Andes, Bogotá, Colombia.
Ricardo Machado-XavierUniversidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Tomás CaicedoHospital Universitario Departamental De Nariño, Pasto, Colombia.
Vanessa OcampoCentre for Prognosis Studies in the Rheumatic Disease, The University of Toronto, Toronto, Canada.
Wilson Armando Bautista-MolanoHospital Universitario Fundación Santa Fe de Bogotá, Universidad El Bosque, Bogotá, Colombia.
Yimy F MedinaUniversidad Nacional de Colombia, Bogotá, Colombia.
Yurilis Josefina Fuentes-SilvaCentro Clínico Universitario de Oriente, Universidad de Oriente, Ciudad Bolívar, Venezuela.
Enrique R SorianoHospital Italiano de Buenos Aires, Buenos Aires, Argentina.
Fundación Universitaria Sanitas · COPontificia Universidad Javeriana · COHospital Italiano de Buenos Aires · ARUniversidad de La Sabana · COAltoona Arthritis and Osteoporosis Center · USFundacion Instituto de Reumatologia Fernando Chalem · COFundación Valle del Lili · COHospital Clínic de Barcelona · ESHospital Provincial de Rosario · ARHospital Punta Pacifica · PAHospital Universitario de San Vicente Fundación · COMilitary University Nueva Granada · COSouthwestern Medical CenterTechnological University of Pereira · COUniversidad Científica del Sur · PEUniversidad de Especialidades Espíritu Santo · ECUniversidad de la República de Uruguay · UYUniversidad del Norte · COUniversidad de Los Andes · COUniversidad de Morelia · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRheumatic diseases are a reason for frequent consultation with primary care doctors. Unfortunately, there is a high percentage of misdiagnosis.

objectiveTo design an algorithm to be used by primary care physicians to improve the diagnostic approach of the patient with joint pain, and thus improve the diagnostic capacity in four rheumatic diseases.

methodsBased on the information obtained from a literature review, we identified the main symptoms, signs, and paraclinical tests related to the diagnosis of rheumatoid arthritis, spondyloarthritis with peripheral involvement, systemic lupus erythematosus with joint involvement, and osteoarthritis. We conducted 3 consultations with a group of expert rheumatologists, using the Delphi technique, to design a diagnostic algorithm that has as a starting point "joint pain" as a common symptom for the four diseases.

resultsThirty-nine rheumatologists from 18 countries of Ibero-America participated in the Delphi exercise. In the first consultation, we presented 94 items to the experts (35 symptoms, 31 signs, and 28 paraclinical tests) candidates to be part of the algorithm; 74 items (25 symptoms, 27 signs, and 22 paraclinical tests) were chosen. In the second consultation, the decision nodes of the algorithm were chosen, and in the third, its final structure was defined. The Delphi exercise lasted 8 months; 100% of the experts participated in the three consultations.

conclusionWe present an algorithm designed through an international consensus of experts, in which Delphi methodology was used, to support primary care physicians in the clinical approach to patients with joint pain. Key Points • We developed an algorithm with the participation of rheumatologists from 18 countries of Ibero-America, which gives a global vision of the clinical context of the patient with joint pain. • We integrated four rheumatic diseases into one tool with one common symptom: joint pain. It is a novel tool, as it is the first algorithm that will support the primary care physician in the consideration of four different rheumatic diseases. • It will improve the correct diagnosis and reduce the number of paraclinical tests requested by primary care physicians, in the management of patients with joint pain. This point was verified in a recently published study in the journal Rheumatology International (reference number 31).

Indexed as

Rheumatic DiseasesRheumatologyAlgorithmsArthralgiaHumansRheumatologistsAlgorithmsArthritisLupus erythematosusOsteoarthritisPhysiciansPrimary careRheumatoidSpondyloarthritisSystemic

Identifiers

PMID32840702
OpenAlexW3081459493

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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.