Evidence map›Paper›PMID 36623487›Full record

ArticleThe American journal of tropical medicine and hygiene2023

Performance of the Health System Network in Formosa, Argentina, in the Diagnosis of Leprosy.

María R Arnaiz, Daniela Tobar Abarca, María S Santini, José I Franco, Lucila Arzamendia, Hugo C Recalde, Octavio A Bruzzone

Open access · bronzeAbstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 54% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 3 institutions in 2 countries.

María R ArnaizCentro Nacional de Diagnóstico e Investigación en Endemo-epidemias, Buenos Aires, Argentina.
Daniela Tobar AbarcaEcology Institute, Technische Universität Berlin, Berlin, Germany.
María S SantiniCentro Nacional de Diagnóstico e Investigación en Endemo-epidemias, Buenos Aires, Argentina.
José I FrancoPrograma de Control de Lepra de Formosa, Dirección de Medicina Preventiva y Prestaciones Especiales, Ministerio de Desarrollo Humano, Formosa, Argentina.
Lucila ArzamendiaPrograma de Control de Lepra de Formosa, Dirección de Medicina Preventiva y Prestaciones Especiales, Ministerio de Desarrollo Humano, Formosa, Argentina.
Hugo C RecaldePrograma de Control de Lepra de Formosa, Dirección de Medicina Preventiva y Prestaciones Especiales, Ministerio de Desarrollo Humano, Formosa, Argentina.
Octavio A BruzzoneInstituto de Investigaciones Forestales y Agropecuarias de Bariloche (IFAB), Instituto Nacional de Tecnología Agropecuaria-Consejo Nacional de Investigaciones Científicas y Técnicas de Argentina (INTA-CONICET), San Carlos de Bariloche, Río Negro, Argentina.
Ministerio de Salud · ARConsejo Nacional de Investigaciones Científicas y Técnicas · ARTechnische Universität Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leprosy is a chronic, neglected tropical infectious disease, currently endemic in Formosa, a province in northwestern Argentina. To analyze the performance, distribution, and effectiveness of the health system in leprosy diagnosis in Formosa, we estimated the trend of the number of new cases of leprosy diagnosed between 2002 and 2019 and estimated a forecast for 2022 at the primary health care centers (PHCCs) of at the first level of care (1stLC), at district hospitals (DHs) of the second level of care (2ndLC), high-complexity hospitals at the third level of care (3rdLC), and in rural and urban areas. The general trend was calculated based on the new cases detection rate (NCDR) using the autoregressive-moving average model (ARMA). The 1stLC, 2ndLC, and 3rdLC and the rural/urban variables were assessed using a proportional Bayesian trend ARMA (TrARMA) model. A predictive model was used for estimated forecasts. Markov-Monte Carlo chains were applied with A Metropolis-Hastings's algorithm. The highest median proportion (Mp) of new cases of leprosy was diagnosed at the 2ndLC (Mp, 0.67; 97.5% credibility interval [CI] [0.56-0.77]), at the 3rdLC (Mp, 0.11; 97.5% CI [0.08-0.15]), and in urban areas (urban median proportion (uMp), 0.86; 97.5% CI [0.83- 0.88]), whereas the lowest proportion of new cases was diagnosed at the 1stLC (Mp, 0.082; 97.5% CI [0.061-0.108]) and in rural areas (rural median proportion (rMp), 0.13; 97.5% CI [0.11-0.16]). Our model predicts for 2022 that a median number of new cases of leprosy of 19.70 will be diagnosed in urban areas (97.5% CI [15.94-23.80]), and will continue to be diagnosed at the 2ndLC (median number of cases, 15.33; 97.5% CI [12.40-10.52]) and 3rdLC (median number of cases, 2.43; 97.5% CI [1.97-2.94]).

Indexed as

LeprosyArgentinaBayes TheoremGovernment ProgramsHumansTaiwan

Identifiers

PMID36623487
PMCPMC9896314
OpenAlexW4313888927

What Socratic 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 Socratic graph.