Evidence map›Paper›PMID 33889803›Full record

ArticleAfrican journal of infectious diseases2021

COMPARING SOCIO-ECONOMIC CONDITIONS OF MOTHER AND CHILDREN WITH LEPROSY IN ENDEMIC AND NON-ENDEMIC AREAS IN EAST JAVA, INDONESIA.

Flora Ramona Sigit Prakoeswa, Ghina Shabrina Awanis, Aini Azizah, Budi Prasetyo, Santi Martini, Hardyanto Soebono, Dominicus Husada, Hari Basuki Notobroto, Muhammad Yulianto Listiawan, Anang Endaryanto and 1 more

Open access · diamondAbstract read
In one paragraph

Article in African journal of infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Backward logistic regression analysis of the determinants of the hand function among patients with leprosy: A cross-sectional study.Malaysian family physician : the official journal of the Academy of Family Physicians of Malaysia · 2024
    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

11 authors at 3 institutions in 1 country.

Flora Ramona Sigit PrakoeswaDoctoral Program, Faculty of Medicine, Airlangga University, Indonesia.Department of Dermatology and Venereology, Faculty of Medicine, Universitas Muhammadiyah Surakarta, Indonesia.
Ghina Shabrina AwanisFaculty of Medicine, Universitas Sebelas Maret, Indonesia.
Aini AzizahMaster of Public Health Program, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada.
Budi PrasetyoDepartment of Obstetrics and Gynecology, Faculty of Medicine, Airlangga University / Dr. Soetomo General Academic Hospital, Surabaya, Indonesia.
Santi MartiniFaculty of Public Health, Airlangga University, Indonesia.
Hardyanto SoebonoDepartment of Dermatology and Venereology, Faculty of Medicine, Public Health and Nursing, Gadjah Mada University, Indonesia.
Dominicus HusadaDepartment of Pediatric, Faculty of Medicine, Airlangga University / Dr. Soetomo General Academic Hospital, Surabaya, Indonesia.
Hari Basuki NotobrotoFaculty of Public Health, Airlangga University, Indonesia.
Muhammad Yulianto ListiawanDepartment of Dermatology and Venereology, Faculty of Medicine, Airlangga University / Dr. Soetomo General Academic Hospital, Surabaya, Indonesia.
Anang EndaryantoDepartment of Pediatric, Faculty of Medicine, Airlangga University / Dr. Soetomo General Academic Hospital, Surabaya, Indonesia.
Cita Rosita Sigit PrakoeswaDepartment of Dermatology and Venereology, Faculty of Medicine, Airlangga University / Dr. Soetomo General Academic Hospital, Surabaya, Indonesia.
Airlangga University · IDSebelas Maret University · IDUniversitas Gadjah Mada · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLeprosy is a disease that causes social, psychological, and economic issues. Failure to treat the causes of the immune system dysregulation in endemic areas of leprosy conditions makes the transmission of the bacteria easier. This paper aims to analyze the comparison of family income, occupation types of mothers and fathers, number of children, access to health facilities, and education of mothers, fathers, and children in mothers and children with leprosy in endemic and non-endemic areas. MATERIALS AND

methodsA cross sectional study by survey was done in both an endemic and a non-endemic area of leprosy in Tuban Regency, East Java, Indonesia. Retrieval of research data was done using interview techniques. Respondents who participated in this study were 106 pairs of mother and child respondents who met the research restriction criteria. Subjects were divided into 5groups based on diagnosis of leprosy and area of living. Bivariate analysis was performed by comparing the independent variables in each group A, B, C, and D with group E.

resultsIt was found that the variables that differed significantly between the endemic and non-endemic areas were the variable number of children with a p-value=0.004, family income with a p-value=0.049 and the variable mother's education with a p-value=0.016. Meanwhile, other variables do not have significant difference.

conclusionsWe found significant difference on the number of children, father's education, mother's education, and family income. These variables can be a risk factor for leprosy. To make efforts to prevent the transmission of leprosy, stakeholders should consider these factors.

Indexed as

endemic and non-endemicleprosymother and childsocioeconomic

Identifiers

PMID33889803
PMCPMC8052967
OpenAlexW3137457165

What OpenQuestion holds

Textmetadata
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.