Evidence map›Paper›PMID 42630558›Full record

ArticleJournal of public health research2026

Modeling multistage transition probability in blood pressure progression stages among hypertensive patients, southern Ethiopia: A retrospective cohort study.

Dereje Danbe Debeko, Tayesew Shegaw

Abstract read
In one paragraph

Article in Journal of public health research, 2026. 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
–field-weighted citation impact
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.

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

2 authors.

Dereje Danbe DebekoCollege of Natural and Computational Sciences, Hawassa University, Ethiopia.ORCID https://orcid.org/0000-0001-5989-3315
Tayesew ShegawCollege of Natural and Computational Sciences, Dilla University, Ethiopia.ORCID https://orcid.org/0009-0006-6245-1079

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Hypertension is the primary cause of cardiovascular death and a major contributor to heart attack, stroke, chronic heart disease, and kidney failure. The aim of this study was to estimate multistage transition probability and identify associated risk factors among hypertensive patients. Methods: A total of 210 patients who underwent hypertension treatment follow-up at Hawassa University Comprehensive Specialized Hospital (HU-CSH) were included in the study. The multistate Markov model is used to estimate transition probability, transition intensity between disease stages, and mean time spent in each BP progression stage. We used the proportional hazards regression model to estimate effects of different covariates on transition intensity within and between BP progression stages. Results: Among the total study participants, 56.7% were female and 43.3% were male; of these, 66.2% were urban and 33.8% were rural residents. The transition probability from stage 1 to stage 2 was 0.151, from stage 2 to stage 3 was 0.128, and from stage 3 to stage 4 was 0.205. Stage 3 had the shortest estimated mean sojourn time. Old-aged (30+) patients had 3.19 times (19%) more risk of transitioning from stage 2 (grade 1 hypertension) to stage 3 (grade 2 hypertension) compared to patients below 30 years of age. Conclusion: Patients who were in stage 3 (grade 2 hypertension) had a higher risk of progressing to stage 4 (grade 3 hypertension). A family history of hypertension, older age (30+), male sex, urban residence, history of previous hypertension and diabetes were major risk factors of hypertension and increased BP.

Indexed as

blood pressurehypertensionmultistate Markov modeltransition probabilities

Identifiers

PMID42630558
PMCPMC13494306

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.