ArticleSTAR protocols2026
Protocol to study the antitumor and metabolic effects of intermittent fasting plus cisplatin and metformin in ovarian cancer PDX models.
Article in STAR protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Different dietary regimens are being explored as safe, low-cost approaches to enhance cancer therapy. This protocol describes the evaluation of antitumor and metabolic effects of intermittent fasting (IF) combined with cisplatin and metformin in an ovarian cancer patient-derived xenograft (PDX) model. Procedures include IF cycles, drug administration, antitumor activity assessment, drug quantification in plasma and tumors, toxicity evaluation, and immunohistochemical analyses. For complete information on the generation and use of this protocol, please refer to Capellini et al.
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Registered trials
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.