Data Sheet 1_Global research trends, reporting and handling of missing data in observation

A systematic review and bibliometric analysis of 88 observational studies on type 2 diabetes mellitus with mild cognitive impairment (T2DM-MCI) published between 2020 and 2025. The dataset, authored by Yang Liu, analyzes publication trends, research clusters, and the reporting and handling of missing data across the included studies. It finds that only 22.7% of studies quantified missing data, with an average rate of 9.1%, and complete case analysis was the predominant handling method.

Use Cases

• Analyzing publication trends and research output by country and journal based on the bibliometric analysis
• Evaluating the prevalence and reporting quality of missing data in observational health studies
• Identifying primary research clusters (e.g., fMRI, metabolic disorders, gut microbiome) within the T2DM-MCI literature
• Benchmarking current practices for handling missing data against established guidelines like STROBE

Strengths

• Analyzes a clearly defined corpus of 88 studies identified through a systematic search of major databases
• Provides specific quantitative findings, such as 22.7% of studies quantifying missing data with an average rate of 9.1%
• Uses established tools (VOSviewer, CiteSpace) and guidelines (STROBE) for its bibliometric and methodological analysis

Limitations

• The dataset is a 723.7 KB DOCX document; the underlying structured data from the review is not provided in a machine-readable format
• Row count and column-level documentation for any extracted data are unknown
• The analysis is limited to studies published between January 2020 and April 2025, which may not reflect longer-term trends

Provenance

Source

figshare

Collection Method

Systematic review and bibliometric analysis of literature from PubMed, Embase, and Cochrane Library.

Time Range

2020 to 2025

Freshness

Last updated 2026-05-11 04:27:57

Geography

Global, with noted leading output from Chinese institutions