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Record W4386195328 · doi:10.14740/gr1624

Fecal Microbiota Transplantation in Human Immunodeficiency Virus-Infected Patient Population: A Systematic Review and Meta-Analysis

2023· review· en· W4386195328 on OpenAlexvenueno aff
Adnan Malik, Muhammad Imran Malik

Bibliographic record

VenueGastroenterology Research · 2023
Typereview
Languageen
FieldMedicine
TopicClostridium difficile and Clostridium perfringens research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDysbiosisClostridium difficileMeta-analysisInternal medicineFecal bacteriotherapyPopulationAdverse effectOdds ratioMicrobiomeImmunologyGastroenterologyGut floraBioinformaticsMicrobiologyAntibiotics

Abstract

fetched live from OpenAlex

Background: Patients with human immunodeficiency virus (HIV) infection suffer from alterations in gut microbiota due to recurrent gastrointestinal infections and systemic inflammation. Fecal microbiota transplantation (FMT) appears to be a potential therapy; however, there are concerns about its safety. Likewise, no previous meta-analysis evaluated FMT efficacy in HIV-infected patients. Methods: We conducted a thorough electronic search on PubMed, Scopus, OVID, Web of Science, and Cochrane CENTRAL for clinical studies assessing the safety and efficacy of FMT in patients with HIV and gastrointestinal dysbiosis, where FMT was indicated to restore the disrupted microbiota. Results: and reduced the risk of gastrointestinal infections in HIV patients receiving antiretroviral therapy (odds ratio (OR) = 0.774, 95% confidence interval (CI): (0.62, 0.966)). Furthermore, adverse events, such as distention and bloating, associated with FMT were comparable between HIV and health controls (OR = 0.60, 95% CI: (0.07, 4.6)), with no statistical difference. Conclusions: Current evidence demonstrated that FMT is safe and effective in HIV patients suffering from alterations in gut microbiota. We recommend further multi-centric clinical studies to address the optimal transplant amount and source for FMT. To the best of our knowledge, this is the first meta-analysis to assess the safety and efficacy of FMT in patients with HIV.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.889
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0090.002
Bibliometrics0.0030.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.173
GPT teacher head0.442
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2023
Admission routes1
Has abstractyes

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