Evidence map›Paper›PMID 34221276›Full record

ArticleCaspian journal of internal medicine2021

Pattern of infectious diseases in northern Iran: An approach to internal medicine management.

Mohammad Ali Jahani, Zohreh Alinasab, Maysam Rezapour, Melodi Omrani Nava, Ghahraman Mahmoudi

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In one paragraph

Article in Caspian journal of internal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Mohammad Ali JahaniSocial Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.
Zohreh AlinasabHospital Administration Research Center, Sari Branch, Islamic Azad University, Sari, Iran.
Maysam RezapourSchool of Nursing and Midwifery, Amol, Mazandaran University of Medical Sciences, Sari, Iran.
Melodi Omrani NavaHospital Administration Research Center, Sari Branch, Islamic Azad University, Sari, Iran.
Ghahraman MahmoudiHospital Administration Research Center, Sari Branch, Islamic Azad University, Sari, Iran.
Islamic Azad University Sari Branch · IRBabol University of Medical Sciences · IRMazandaran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the development of their prevention and treatment, infectious diseases cause high mortality, many disabilities and inadequate living conditions worldwide. The aim of this study was to evaluate the pattern of infectious diseases in northern Iran with an approach to internal medicine management.

methodsThis cross-sectional research was conducted in 2019 on all 7095 infectious diseases patient records that referred to Ghaemshahr Razi Hospital, Mazandaran Province, Iran during 2012-2018. A checklist prepared by investigator was used to collect the data. The extracted data were coded and entered into SPSS 22 and analyzed using K

resultsThe mean age of the study patients was 29.7±26.4. 4372 (61%) of the cases were males and the mean duration of hospitalization was 41.6±33.5. Age was significantly correlated to infectious diseases (P=.001). Gastroenteritis was the most common infectious disease among the men and women with 2442 (60.5%) and 1594 (39.47%), respectively. Based on the Pearson's correlation test, the relationship between leptospirosis, brucellosis, pulmonary tuberculosis, shigellosis, sepsis and infectious mononucleosis with gender, habitation, admission mode, discharged mode and age was significant (p<.05).

conclusionAs the high frequent diseases were gastroenteritis, leptospirosis, brucellosis and sepsis and an increasing trend was in the prevalence of gastroenteritis, leptospirosis and lung tuberculosis, health system managers should consider training courses, preventive strategies, real-time interventions, increased hospital bed rate for patients with infectious diseases and so on.

Indexed as

ContagiousDisease processInfectiousInfectious diseases

Identifiers

PMID34221276
PMCPMC8223039
OpenAlexW3174878535

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LicenceCC BY
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Registered trials

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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.