Evidence map›Paper›PMID 42563712›Full record

ReviewJournal of Korean biological nursing science2025

Reporting quality of randomized controlled trials in the

Mi-Kyoung Cho, Mi Young Kim

Abstract readReview
In one paragraph

Review in Journal of Korean biological nursing science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Mi-Kyoung ChoDepartment of Nursing Science, College of Nursing, Chungbuk National University, Cheongju, Korea.ORCID 0000-0003-1406-1149
Mi Young KimCollege of Nursing, Hanyang University, Seoul, Korea.ORCID 0000-0001-5724-0337

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aims to evaluate the reporting completeness of randomized controlled trials (RCTs) published in the Methods: A systematic search of the JKBNS archive was conducted using keywords related to random allocation. A total of 22 RCTs were identified and included in this methodological review. Eligible studies were defined as RCTs involving human participants. Reporting completeness was assessed using the CONSORT 2025 checklist. In addition, a conceptual mapping analysis was performed to examine the alignment between CONSORT 2025 checklist items and methodological quality domains derived from the Risk of Bias 2.0 (RoB 2.0), the Scottish Intercollegiate Guidelines Network (SIGN), and the Joanna Briggs Institute (JBI) critical appraisal tools. Results: Of the 22 reviewed RCTs, 19 used a parallel-group design and 3 employed a crossover design. Most studies evaluated non-pharmacological interventions, most commonly aromatherapy. The mean CONSORT 2025 compliance score was 24.77 ± 3.15, with 18 items consistently reported across studies. However, critical elements such as protocol amendments, interim analyses, and approaches to handling missing data were rarely addressed. Evaluation of 42 detailed items corresponding to 30 checklist numbers showed an overall average reporting rate of 59.0%. Fourteen CONSORT 2025 checklist items demonstrated conceptual alignment with domains from RoB 2.0, SIGN, and JBI. Conclusion: The overall reporting quality of RCTs published in JKBNS was moderate. Future RCT submissions to nursing journals should emphasize rigorous and comprehensive adherence to reporting standards such as the CONSORT 2025 checklist to improve methodological transparency and reproducibility.

Indexed as

Guideline adherenceNursing researchQuality controlRandomized controlled trial

Identifiers

PMID42563712
PMCPMC13268265

What OpenQuestion holds

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Registered trials

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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.