Integrity Review Report: "Gut dysbiosis: An overlooked pharmacokinetic modifier in psychotropic therapy" (DOI: 10.1016/j.prmedi.2026.100098)

Academic fraud report · Geng Detector

Summary

This integrity review evaluates Mohammed Khaled Al Alaili's review article published in Precision Medication (2026). Verdict: CLEAR — no substantive integrity concerns identified. The paper is a hypothesis-driven, theoretical review with no original experimental data; Figures 1–2 are mechanistic concept diagrams and Table 1 summarizes literature viewpoints, so there are no Western blots, flow cytometry plots, or statistical scatter plots amenable to pixel-level or distributional forgery checks. Six-style scanning detected no image-manipulation signals. The reference list includes 2024–2026 publications consistent with the August 2026 review window, and the author transparently disclosed the use of Microsoft Co-pilot for proofreading in the Declarations section, in line with current AI-use disclosure norms. No fabricated reagents, non-existent equipment, or timeline inconsistencies were found. Confidence in the clearance is high for image and reference dimensions, though limited by the absence of raw data to scrutinize. Limitations inherent to automated review apply; final adjudication remains with institutional investigation if contested.

Verdict

Clear (✅) — No indicators of academic fraud were detected. The article is a single-author hypothesis-driven theoretical review lacking original experimental data, which limits the surface area for image or statistical forgery.

Key findings

No original experimental data (in vitro/in vivo) is presented; Figure 1 and Figure 2 are mechanistic concept diagrams, and Table 1 is a literature-summary table.
No image elements susceptible to pixel-level comparison (e.g., Western blots, flow cytometry, statistical scatter plots) are present.
Reference timeline is internally consistent with the review date (August 2026); recent citations from 2024–2026 are plausible.
The author openly disclosed Microsoft Co-pilot usage for final proofreading in the Declarations, consistent with AI-use transparency norms.
No fabricated reagents, non-existent equipment, or contradictory timeline signals were detected.

Evidence highlights

Figure/table inventory: Figure 1–2 (concept schematics), Table 1 (literature summary); none are raw experimental outputs.
Disclosure statement (verbatim paraphrase): Microsoft Co-pilot was used only for the final version of the manuscript for proofreading; no concealment of AI assistance.
Reference set: Includes publications dated 2024, 2025, and 2026, all reasonable given the current date.
Six-style scan result: No image-forgery traces identified by the visual analysis module.

Notes

DOI: 10.1016/j.prmedi.2026.100098
Source file: 202607.00276v1.pdf
Confidence is high for image- and reference-based checks; the theoretical-review format inherently constrains what can be verified, so absence of evidence here should not be conflated with affirmative proof of integrity for all possible misconduct types.
Recommended follow-ups: none required (no request for raw data, no PubPeer post, no journal or institutional report warranted based on current findings).
As with all automated integrity reviews, false negatives remain possible; official institutional investigation supersedes this report in case of dispute.