Correction to Indexed, Ranked, but Not Verified: Why Bibliometric Status Cannot Guarantee Scholarly Integrity in the Age of AI-Hallucinated Citations?

2026-09-23T04:32:53+00:00

Correction to “Indexed, Ranked, but Not Verified: Why Bibliometric Status Cannot Guarantee Scholarly Integrity in the Age of AI-Hallucinated Citations?”

Journal: Journal of Diverse Medical Research: Medicosphere

Original Article DOI: https://doi.org/10.33005/jdiversemedres.v3i5.355

Author: Ilham Kurniawan

The author wishes to issue a formal Correction to rectify citation formatting oversights and to provide a transparent disclosure regarding the use of generative AI tools in the language refinement of the original Editorial Letter published on May 29, 2026.

1. Correction of Reference Metadata

In the originally published version of this article, a formatting error occurred in the representation of the professional publishing name of the cited author, Dr. Jaime A. Teixeira da Silva, in the reference list (References 2 and 3).

The incorrect references originally read:

Reference 2:

Silva JAT da. Manuscripts With Fake Chatgpt-Created References: A Case Study. Cent Asian J Med Hypotheses Ethics 2023;4(3):168–171; doi: 10.47316/cajmhe.2023.4.3.05.

Reference 3:

Silva JAT da, Nazarovets S. Assessment of Retracted Papers, and Their Retraction Notices, From a Cancer Journal Associated With “Paper Mills.” J Data Inf Sci 2023;8(2):118–125; doi: 10.2478/jdis-2023-0009.

The corrected references have been updated to reflect the author’s correct professional publishing name as follows:

Reference 2:

“Teixeira da Silva JA. Manuscripts with Fake Chatgpt-Created References: A Case Study. Cent Asian J Med Hypotheses Ethics 2023;4(3):168–171; doi: 10.47316/cajmhe.2023.4.3.05.”

Reference 3:

“Teixeira da Silva JA, Nazarovets S. Assessment of Retracted Papers, and Their Retraction Notices, from a Cancer Journal Associated With “Paper Mills.” J Data Inf Sci 2023;8(2):118–125; doi: 10.2478/jdis-2023-0009.”

2. Declaration of Generative AI in the Writing Process

In alignment with the journal’s AI Tools Usage Policy, the author formally discloses the following statement, which was inadvertently omitted during the initial publication workflow:

“During the preparation of this manuscript, the author utilized generative artificial intelligence tools, including DeepL and DeepSeek, intended solely for language refinement and grammatical correction throughout the manuscript drafting process. These tools were not used for generating content, data analysis, or interpretation. The author bears full responsibility for the accuracy and integrity of the content as well as the conclusions presented in this study.”

3. Publication Record Amendment

To ensure scholarly transparency, the online HTML and PDF versions of the original article were updated on September 8, 2026 to incorporate these changes. This standalone Correction Notice is published to permanently document these corrections in the scholarly record.

The author sincerely apologizes for these metadata oversights.

Cold-Reactive Erythrocyte Agglutination Causing Analytical Interference in Automated Hematology: A Case Report

2026-08-23T22:35:29+00:00

Cold-reactive erythrocyte agglutination is an important cause of analytical interference in automated hematology testing. We report a 55-year-old man with severe anemia, leukocytosis, thrombocytopenia, and suspected hematologic malignancy in whom hematological parameters changed substantially following specimen warming. The blood specimen had a sandy appearance and was incubated at 37°C before repeat analysis. Before incubation, WBC was 32,270/µL, RBC 0.29 × 10⁶/µL, hemoglobin 8.3 g/dL, hematocrit 2.8%, MCH 283.3 pg, and MCHC 295.8 g/dL. Following incubation, WBC was 19,630/µL, RBC 1.93 × 10⁶/µL, hemoglobin 6.1 g/dL, hematocrit 17.8%, MCH 31.7 pg, and MCHC 34.3 g/dL. Peripheral blood smear demonstrated erythrocyte agglutination and approximately 10% immature cells resembling myeloid blasts. This case highlights the importance of recognizing cold-reactive erythrocyte agglutination, appropriate specimen warming, and peripheral blood smear examination to improve interpretation of automated hematology results.

Journal of Diverse Medical Research : Medicosphere

Correction to Indexed, Ranked, but Not Verified: Why Bibliometric Status Cannot Guarantee Scholarly Integrity in the Age of AI-Hallucinated Citations?

Correction to “Indexed, Ranked, but Not Verified: Why Bibliometric Status Cannot Guarantee Scholarly Integrity in the Age of AI-Hallucinated Citations?”

Cold-Reactive Erythrocyte Agglutination Causing Analytical Interference in Automated Hematology: A Case Report