Evidence map›Paper›PMID 39694998›Full record

ArticleAnnals of surgical oncology2025

Reply to: The Fate of Individual Tone in the Age of AI Writing.

Himel Mondal

Abstract readLetter
PubMed Publisher
In one paragraph

Article in Annals of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

1 author.

Himel MondalDepartment of Physiology, All India Institute of Medical Sciences, Deoghar, Jharkhand, India. himelmkcg@gmail.com.ORCID http://orcid.org/0000-0001-6950-5857

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This letter responds to Matsubara's discussion on preserving personal tone in the age of artificial-intelligence-assisted writing. Assistive tools such as large language models (LLMs) can be helpful for busy authors and those who struggle with the English language. Personal linguistic style in a manuscript creates a sense of true authorship. However, LLMs can enhance productivity at various stages of manuscript preparation, not just writing it. Hence, authors may use LLMs judiciously to preserve their writing style or train the chatbots to align with the authors' unique writing style.

Indexed as

Artificial IntelligenceAuthorshipWritingHumansLanguageArtificial intelligenceIndividualityLanguageMedical facultyRomanticismWriting

Identifiers

PMID39694998

What OpenQuestion holds

Textmetadata
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.