Evidence map›Paper›PMID 38779312›Full record

SynthesisF1000Research2024

Association between angiotensin-converting enzyme (ACE) gene I/D polymorphism with the risk of knee OA: A systematic review, meta-analysis, and meta-regression.

M Nasser Mustari, Muh Nasrum Massi, Muh Andry Usman, Agussalim Bukhari, Irfan Idris, Alfian Zainuddin, Endy Adnan, Syakib Bakri, Mizwar Hatta, Haerani Rasyid and 2 more

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in F1000Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

M Nasser MustariDivision of Orthopaedic and Traumatology, Department of Surgery, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Muh Nasrum MassiDepartment of Clinical Microbiology, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Muh Andry UsmanDivision of Orthopaedic and Traumatology, Department of Orthopaedic and Traumatology,, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Agussalim BukhariDepartment of Clinical Nutrition, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Irfan IdrisDepartment of Physiology, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Alfian ZainuddinDepartment of Public Health, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Endy AdnanDivision of Rheumatology, Department of Internal Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Syakib BakriDivision of Kidney and Hypertension, Department of Internal Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Mizwar HattaSpecialty & Research Laboratory, The Prodia Education and Research Institute, Jakarta City, Jakarta, Indonesia.
Haerani RasyidDivision of Kidney and Hypertension, Department of Internal Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Achmad FikryDivision of Kidney and Hypertension, Department of Internal Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Audrey Suryani SoetjiptoDepartment of Internal Medicine, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.ORCID https://orcid.org/0000-0001-7684-4531

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous studies have linked genetics to knee osteoarthritis. Angiotensin-converting enzyme (ACE) gene I/D polymorphism may cause OA. However, evidence remains inconsistent. This study examines knee OA risk and ACE gene I/D polymorphism. Methods: We explored Europe PMC, Medline, Scopus, and Cochrane Library using keywords. Three assessment bias factors were assessed using the Newcastle-Ottawa Scale (NOS). Criteria for inclusion: (1) Split the study population into knee OA patients and healthy controls; (2) Analysed the ACE gene I/D polymorphism; (3) Case-control or cross-sectional surveys. Studies with non-knee OA, incomplete data, and no full-text were excluded. The odds ratio (OR) and 95% confidence intervals (95% CI) were calculated using random-effect models. Results: A total of 6 case-control studies consist of 1,226 patients with knee OA and 1,145 healthy subjects as controls were included. Our pooled analysis revealed that a significant association between ACE gene I/D polymorphism and risk of knee OA was only seen in the dominant (DD + ID vs. II) [OR 1.69 (95% CI 1.14 - 2.50), p = 0.009, I2 = 72%], and ID vs. II [OR 1.37 (95% CI 1.01- 1.86), p = 0.04, I2 = 43%] genotype models. Other genotype models, including recessive (DD vs. ID + II), alleles (D vs. I), DD vs. ID, and DD vs. II models did not show a significant association with knee OA risk. Further regression analysis revealed that ethnicity and sex may influence those relationships in several genotype models. Conclusions: Dominant and ID vs. II ACE gene I/D polymorphism models increased knee OA risk significantly. More research with larger samples and different ethnic groups is needed to confirm our findings. After ethnicity subgroup analysis, some genetic models in our study showed significant heterogeneities, and most studies are from Asian countries with Asian populations, with little evidence on Arabs.

Indexed as

Genetic Predisposition to DiseaseOsteoarthritis, KneePeptidyl-Dipeptidase APolymorphism, GeneticCase-Control StudiesGenetic Association StudiesHumansINDEL MutationRisk FactorsACE protein, humanPeptidyl-Dipeptidase AACEgenetic modelskneeosteoarthritispolymorphism

Identifiers

PMID38779312
PMCPMC11109534

What OpenQuestion holds

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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.