Evidence map›Paper›PMID 33766121›Full record

ArticleBMC research notes2021

Factors related to baseline CD4 cell counts in HIV/AIDS patients: comparison of poisson, generalized poisson and negative binomial regression models.

Maryam Farhadian, Younes Mohammadi, Mohammad Mirzaei, Nasrin Shirmohammadi-Khorram

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Maryam FarhadianDepartment of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.ORCID http://orcid.org/0000-0002-6054-9850
Younes MohammadiDepartment of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.ORCID http://orcid.org/0000-0001-7521-4909
Mohammad MirzaeiHamadan Health Center, Hamadan University of Medical Sciences, Hamadan, Iran.ORCID http://orcid.org/0000-0001-9428-059X
Nasrin Shirmohammadi-KhorramDepartment of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran. n.shirmohamadi.kh@gmail.com.ORCID http://orcid.org/0000-0002-3800-9575
Hamedan University of Medical Sciences · IR

Funding

Hamadan University of Medical Sciences 9806264725
6 · The paper itself

Abstract

objectiveCD4 Lymphocyte Count (CD4) is a major predictor of HIV progression to AIDS. Exploring the factors affecting CD4 levels may assist healthcare staff and patients in management and monitoring of health cares. This retrospective cohort study aimed to explore factors associated with CD4 cell counts at the time of diagnosis in HIV patients using Poisson, Generalized Poisson, and Negative Binomial regression models.

resultsOut of 4402 HIV patients diagnosis in Iran from 1987 to 2016, 3030 (68.8%) were males, and the mean age was 34.8 ± 10.4 years. The results indicate that the Negative Binomial model outperformed the other models in terms of AIC, log-likelihood and RMSE criteria. In this model, factors include sex, age, clinical stage and Tuberculosis (TB) co-infection were significantly associated with CD4 count (P < 0.05).

conclusionGiven the effect of age, sex, clinical stage and stage of HIV on CD4 count of the patients, adopting policies and strategies to increase awareness and encourage people to seek early HIV testing and care is advantageous.

Indexed as

Acquired Immunodeficiency SyndromeHIV InfectionsAdultCD4 Lymphocyte CountDisease ProgressionFemaleHumansIranMaleMiddle AgedModels, StatisticalRetrospective StudiesYoung AdultAIDSCD4 Lymphocyte CountDisease ProgressionHIVStatistical Model

Identifiers

PMID33766121
PMCPMC7992967
OpenAlexW3137172633

What OpenQuestion holds

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LicenceCC BY
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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.