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Positive outcomes are independently associated with higher journal impact factors in gynecologic oncology trialsPositive Trial Results Linked to Higher Journal Impact Factors

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Key Takeaway
Note that positive trial outcomes are independently associated with higher journal impact factors in gynecologic oncology.

This meta-epidemiologic analysis evaluated 36 phase III randomized controlled trials in gynecologic oncology to examine the relationship between trial outcomes and journal impact factors. The study also assessed variables such as number of authors, follow-up duration, and sample size as potential predictors of publication reach.

Trials reporting positive outcomes were published in journals with significantly higher impact factors (44.5 vs. 24.0) compared to trials with negative outcomes (p =.034). Additionally, trials with positive outcomes reported a higher median number of authors (21 vs. 16; p =.032). Multivariable analysis confirmed that a positive primary outcome was the only factor independently associated with a higher journal impact factor (32.6 point difference; 95% CI 6.4-58.8).

The authors noted that follow-up duration and sample size were not significant predictors of journal impact factor. These findings suggest that publication bias may influence the visibility of clinical evidence, potentially hindering the dissemination of high-quality studies with negative results in gynecologic oncology.

Researchers analyzed 36 Phase III clinical trials in the field of gynecologic oncology. They looked at how trial results related to the prestige of the journals where they were published. The study measured several factors, including the number of authors and the length of follow-up time.

The analysis found that trials with positive outcomes were published in journals with significantly higher impact factors than those with negative outcomes. While trials with more authors also showed a link to higher impact factors, only the positivity of the primary outcome was independently associated with a higher journal ranking.

It is important to note that this study shows a statistical association rather than a direct cause. Factors like follow-up duration and sample size did not predict where a study would be published. This finding suggests that negative results might receive less visibility in major journals, which could impact how medical information is shared.

What this means for you:
Trials with positive outcomes are more likely to appear in high-impact journals than those with negative results.

Common questions

What did this study find about trial results and journal rankings?

The analysis of 36 trials showed that studies with positive outcomes were published in journals with significantly higher impact factors than those with negative outcomes. Specifically, the median impact factor for positive outcome trials was 35.1 compared to 24.0 for negative ones.

Did the number of authors or trial size affect where studies were published?

While a higher number of authors was associated with higher impact factors, only the positive outcome of the study was an independent predictor of a higher journal ranking. Factors like sample size and follow-up duration did not significantly predict the journal's impact factor.

What does this mean for medical research visibility?

The findings suggest that trials with positive results may receive more visibility in high-profile journals. This highlights a potential bias where negative results might be less visible, making it important to look at all available data when evaluating new treatments.

Study Details

Study typeMeta analysis
EvidenceLevel 1
PublishedJul 2026
View Original Abstract ↓
OBJECTIVE: Impact factor bias, in which positive results are preferentially published in higher-impact journals, may influence evidence visibility and interpretation. Whether such an impact factor bias exists in gynecologic oncology trials remains unclear. We evaluated the association between study outcome and journal impact factor in phase III gynecologic oncology randomized controlled trials. METHODS: A meta-epidemiologic analysis was conducted of phase III gynecologic oncology randomized controlled trials identified through ClinicalTrials.gov up to May 2024. Only completed, two-arm, superiority-design trials (as this allows for a clear and unambiguous interpretation of trial results) with published primary endpoint data were included. Data extracted for each publication included impact factor at the year of publication, number of enrolled patients, duration of follow-up, disease site, number of authors, country of first and senior author based on primary institutional affiliation, and primary outcome (classified as positive if the intervention arm demonstrated statistically significant superiority over the control arm). The primary outcome was the journal impact factor stratified by study results. Univariate and exploratory multivariable analyses were performed to identify factors associated with higher journal impact factors. RESULTS: A total of 36 eligible trials were identified, published between 2009 and 2024; 47.2% reported positive primary outcomes. The median journal impact factor across all studies was 35.1 (interquartile range; 18.3-51.6) (range; 3.7-158.5). Trials with positive outcomes were published in journals with significantly higher impact factors than those with negative outcomes (44.5 [interquartile range; 18.7-71.5] vs 24.0 [interquartile range; 5.3-44.5], p =.034). The number of authors was also greater in positive studies (median 21 vs 16, p =.032). In multivariable linear regression, a positive primary outcome was the only independently associated factor with a higher journal impact factor. Positive outcomes were published in journals with, on average, 32.6 (95% confidence interval 6.4-58.8) point higher impact factors, respectively. Follow-up duration and sample size were not significant predictors. CONCLUSIONS: Positive phase III gynecologic oncology trials were published in higher-impact journals, with outcome positivity independently associated with impact factor. This pattern may affect evidence visibility and highlights the need to support dissemination of high-quality negative studies.
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