Evidence map›Paper›PMID 41586379›Full record

ArticleExploratory research and hypothesis in medicine2025

Reporting Quality of Trend Analyses Published in Leading Medicine and Oncology Journals during 2008-2018.

Xiaoling Yuan, Fei Deng, Yating Wang, Lanjing Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Exploratory research and hypothesis in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Xiaoling YuanDepartment of Infectious Disease, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Fei DengDepartment of Chemical Biology, Ernest Mario School of Pharmacy, Rutgers University, Piscataway, NJ, USA.
Yating WangDepartment of Oncology, Ascension All Saint Cancer Center, Racine, WI, USA.
Lanjing ZhangDepartment of Chemical Biology, Ernest Mario School of Pharmacy, Rutgers University, Piscataway, NJ, USA.ORCID 0000-0001-5436-887X

Funding

Screening and confirmatory machine learning for explainable modeling of non-cancer deaths in cancer patientsR37CA277812 · NCI · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI Lanjing Zhang · 2022 to 2026
$1.6M
NCI NIH HHS R37 CA277812
6 · The paper itself

Abstract

Reporting quality in clinical research is critical for evidence-based medicine and reproducibility of clinical studies. Previous work has mostly focused on the reporting quality of clinical trials and observational longitudinal studies. However, few studies have examined the reporting quality of trend analyses. Moreover, the reporting of recommended statistical metrics in trend analyses remains largely unclear. Therefore, we assessed the reporting quality of trend analyses based on reporting of recommended statistical metrics. We systematically searched the PubMed for the trend-analysis articles published in 10 leading medicine and oncology journals over an 11-year period (2008-2018). Studies published after 2019 were excluded due to a sudden, significant increase in publication numbers during and immediately after the COVID-19 pandemic. Only original articles, research letters, and meta-analyses/systematic reviews were included. We scored the reporting quality of these articles based on whether they reported

Indexed as

Clinical researchReporting qualityStatistical analysisTrend analysis

Identifiers

PMID41586379
PMCPMC12826571

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.