Evidence map›Paper›PMID 38184564›Full record

ArticleLipids in health and disease2024

Dyslipidemia: prevalence and association with precancerous and cancerous lesions of the cervix; a pilot study.

Gakii Fridah Mwangi, Nixon Niyonzima, Raymond Atwine, Deusdedit Tusubira, Godfrey R Mugyenyi, Frank Ssedyabane

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2024. 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
4.7field-weighted citation impact, top 6% 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, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Elevated Body Mass Index as a Predictor of Cervical Cancer and Precancerous Lesions.Medical science monitor : international medical journal of experimental and clinical research · 2025
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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

6 authors at 2 institutions in 1 country.

Gakii Fridah MwangiDepartment of Medical Laboratory Science, Mbarara University of Science and Technology (MUST), P.O. Box 1410, Mbarara, Uganda. fridahgakii99@yahoo.com.
Nixon NiyonzimaUganda Cancer Institute (UCI), P.O. Box 3935, Kampala, Uganda.
Raymond AtwineDepartment of Pathology, Mbarara University of Science and Technology (MUST), P.O. Box 1410, Mbarara, Uganda.
Deusdedit TusubiraDepartment of Biochemistry, Mbarara University of Science and Technology (MUST), P.O. Box 1410, Mbarara, Uganda.
Godfrey R MugyenyiDepartment of Obstetrics and Gynecology, Mbarara University of Science and Technology (MUST), P.O. Box 1410, Mbarara, Uganda.
Frank SsedyabaneDepartment of Medical Laboratory Science, Mbarara University of Science and Technology (MUST), P.O. Box 1410, Mbarara, Uganda.
Mbarara University of Science and Technology · UGUganda Cancer Institute · UG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Sub-Saharan Africa, the prevalence of dyslipidemia is on the rise, with studies showing dyslipidemia as a contributing factor to the progression of premalignant lesions to cervical cancer. In Uganda, cervical cancer and dyslipidemia are common health concerns, considering the increasing trends of dyslipidemia in the general population and inadequate information regarding dyslipidemia and cervical lesions. This study aimed to determine the prevalence of dyslipidemia and its association with precancerous and cancerous lesions of the cervix among women attending a cervical cancer clinic at the Uganda Cancer Institute.

methodsThis cross-sectional study was conducted from February to April 2022 among women with premalignant and malignant lesions of the cervix. Data on social demographics and health-seeking behaviours were collected using a pretested structured questionnaire after written informed consent had been obtained. Pap smear collection preceded visual inspection with acetic acid; cervical biopsies were collected appropriately from eligible participants; and cervical lesions were classified using the Bethesda system 2014. Serum lipids, total cholesterol (T.C.), high-density lipoprotein (HDLc), low-density lipoprotein (LDLc), and triglycerides (T.G.s) were analysed using the COBAS™ 6000 Clinical Chemistry Analyser. The associations were assessed using the chi-square test, and P ≤ 0.05 was considered statistically significant.

resultsThe overall prevalence of dyslipidemia among women with cervical lesions was 118/159 (74%), and low HDLc was the most prevalent at 64.6% (95% CI 39.0-54.3). High T.C. (P = 0.05), high T.G.s (P = 0.011), and low HDL-c (P = 0.05) showed a significant association with precancerous lesions. High LDL-c (P = 0.019), high T.G.s (P = 0.02), and high T.G.s (P < 0.001) showed a statistically significant association with cancerous lesions.

conclusionThe prevalence of dyslipidemia was high, with high TC, T.G.s, and low HDL-c significantly associated with precancerous lesions. Also, elevated T.G.s and high LDLc were significantly associated with cancerous lesions. Women may benefit from dyslipidemia screening along with cervical cancer screening. WHAT THIS STUDY ADDS: The present study builds upon previous findings suggesting a link between dyslipidemia and cervical lesions by investigating the relationship between these two factors, specifically in women of this geographical location, where we need adequate information on these associations.

Indexed as

DyslipidemiasHypertriglyceridemiaPrecancerous ConditionsUterine Cervical NeoplasmsCervix UteriCross-Sectional StudiesEarly Detection of CancerFemaleHumansPilot ProjectsPrevalenceCancerous lesionsCervixDyslipidemiaPrecancerous lesions

Identifiers

PMID38184564
PMCPMC10770978
OpenAlexW4390638425

What OpenQuestion holds

Textmetadata
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.