Best Researcher Award
Ahmed Alharthy
King Abdulaziz University, Saudi Arabia
This academic recognition profile presents Ahmed Alharthy in connection with the Best Researcher Award under the Global Innovation Technologist Awards. The supplied bibliographic information identifies a 2026 article in Bahrain Medical Bulletin examining preoperative computed tomography nutritional parameters as potential predictors of adverse outcomes following pancreaticoduodenectomy. The article provides a relevant clinical research context involving imaging-derived measurements, nutritional assessment, and surgical outcome evaluation. The available information does not establish the researcher’s authorship of this article; the bibliographic record lists multiple authors, and individual contributions require verification. [1]
Abstract
The featured article investigates whether nutritional parameters derived from preoperative computed tomography can help predict adverse outcomes after pancreaticoduodenectomy, a complex operation commonly performed for selected pancreatic and periampullary conditions. Its retrospective design and cancer-center setting situate the work within clinical research on preoperative risk assessment. Imaging-based indicators may complement conventional clinical evaluation by providing information about body composition and nutritional status. However, the supplied record does not include the study’s sample size, measured parameters, statistical findings, or conclusions; specific results therefore cannot be stated reliably. [1]
Keywords
Computed tomography; nutritional assessment; pancreaticoduodenectomy; postoperative complications; surgical outcomes; retrospective study; clinical research.
Introduction
Pancreaticoduodenectomy is a major abdominal procedure associated with substantial perioperative complexity. Identifying patients at increased risk of complications is an important component of surgical planning. Computed tomography is routinely used in clinical assessment and may also support analysis of body composition and nutritional indicators. Retrospective investigations can explore associations between these measurements and subsequent outcomes, although their findings require appropriate statistical validation and prospective evaluation before clinical adoption. [2]
Research Profile
The supplied Scopus record reports 10 documents, 268 citations, and an h-index of 4 for Ahmed Alharthy, with Physics and Astronomy identified as the subject area. These bibliometric indicators offer a quantitative snapshot of indexed research output and citation activity. They should be interpreted alongside publication quality, field-specific citation patterns, authorship contributions, and independent verification of the researcher’s profile. [3]
Research Contributions
The featured study addresses a practical question in perioperative medicine: whether information available before surgery can assist in anticipating postoperative risk. Its topic connects medical imaging with nutritional assessment and clinical outcome analysis. The retrospective approach may help identify candidate prognostic variables, but the strength and applicability of any conclusions depend on the study methods and reported results. Individual contributions by Ahmed Alharthy cannot be confirmed from the supplied citation alone. [1]
Publications
The supplied bibliographic entry identifies the following 2026 publication in Bahrain Medical Bulletin:
- “Preoperative Computed Tomography Nutritional Parameters as Predictors of Adverse Outcomes Following Pancreaticoduodenectomy: A Retrospective Study at a Cancer Center.” [1]
No DOI was supplied for this article, and one has not been inferred.
Research Impact
The reported 268 citations across 10 indexed documents indicate measurable citation activity in the supplied profile. An h-index of 4 means that four documents have each received at least four citations, assuming the indicators refer to the same author record and database snapshot. Citation counts can change over time and vary across databases. They do not independently establish research quality, clinical influence, or authorship of the featured article. [3]
Award Suitability
The Best Researcher Award associated with the Global Innovation Technologist Awards provides a framework for recognizing scholarly contributions and research activity. A fair assessment of Ahmed Alharthy’s suitability should consider verified publications, originality, methodological rigor, field relevance, documented individual contributions, and independent impact indicators. The available bibliometric data provide preliminary context but are insufficient on their own to establish award eligibility or a final selection outcome.
Conclusion
The supplied information combines a clinical research citation with bibliometric details for Ahmed Alharthy. The featured article concerns preoperative CT-based nutritional parameters and postoperative outcomes following pancreaticoduodenectomy, a topic relevant to surgical risk assessment. Before publication of this recognition profile, the researcher–article authorship relationship, ORCID, affiliation, and bibliographic metadata should be verified. This approach supports accurate, transparent academic recognition.
External Links
References
- Abuhadi, M., Trabulsi, M. N. H., Shabkah, N. H., et al. (2026). Preoperative Computed Tomography Nutritional Parameters as Predictors of Adverse Outcomes Following Pancreaticoduodenectomy: A Retrospective Study at a Cancer Center.
- National Library of Medicine. (n.d.). PubMed: Biomedical literature database. Used as a resource for verifying clinical publication metadata and related research.
- Elsevier. (n.d.). Scopus author details: Ahmed Alharthy, Author ID 56416463600. Scopus. Bibliometric figures are reported as provided in the input data and should be checked against the current author profile.
https://www.scopus.com/authid/detail.uri?authorId=56416463600
- Global Innovation Technologist Awards. (n.d.). Official award website. Information about the recognition program.
innovationtechnologist.com