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Participant flowchart (CONSORT flowchart).

Stewart J. Richmond (85110), Shalmini Gunadasa (458984), Martin Bland (222260) et al. · Figshare · 2015

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flowchart: Tidy Flowchart Generator

Pau Satorra, João Carmezim, Natàlia Pallarés et al. · 2024

Creates participant flow diagrams directly from a dataframe. Representing the flow of participants through each stage of a study, especially in clinical trials, is essential to assess the generalisability and validity of the results. This package provides a set of functions that can be combined with a pipe operator to create all kinds of flowcharts from a data frame in an easy way.

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Participant flowchart (CONSORT flowchart).

Choon Guan Lim (131422), Xue Wei Wendy Poh (6718946), Shuen Sheng Daniel Fung (6718949) et al. · Figshare · 2019

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Flowchart

Povilas Miknevicius · Figshare · 2021

Flowchart

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Flowchart

Laure De Cock · OSF Preprints (OSF Preprints)

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Flowchart

Azmat · Zenodo (CERN European Organization for Nuclear Research) · 2026

SciDraw upload

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Flowchart

National Cancer Institute · Definitions · 2020

Ope n Pe e r Re v ie w on Qe ios Ope n Pe e r Re v ie

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Flowchart.

Yihu Lei (19193865), Haibo Mu (9204939) · Figshare · 2024

<div><p>Air-rail intermodal transportation (ARIT) plays a crucial role in China’s intermodal transportation system. This study aims to model and optimize issues such as inefficiency and complexity in China’s ARIT freight transportation using Business Process Reengineering and Stochastic Petri Nets theories. The Petri Net (PN) model for incoming freight transport in ARIT is based on actual operations, employing a new method involving Stochastic Petri Nets and isomorphic Markov Chains theory for performance analysis. Performance analysis results help intuitively identify areas needing optimization. Based on optimization principles, elements such as railway container packaging are improved, resulting in an optimized PN model for ARIT. Finally, data analysis shows that the optimized ARIT model reduces total delay by 7.7% compared to the original. This demonstrates that the new method, combining Markov Chain performance analysis and optimization principles, is feasible and effective for ARIT optimization.</p></div>

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Flowchart

Tea Skaaby (292885), Lise Lotte N. Husemoen (244333), Torben Jørgensen (154033) et al. · Figshare · 2015

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Flowchart.

Farid Boubred (217144), Vanessa Pauly (460989), Fanny Romain (8939717) et al. · Figshare · 2020

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Flowchart.

Olivier Huttin (718773), Damien Mandry (3479252), Batric Popovic (3599636) et al. · Figshare · 2020

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Flowchart.

Stephanie L. Prady (85109), Stewart J. Richmond (85110), Veronica M. Morton (85111) et al. · Figshare · 2015

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Flowchart.

Benjamin Mulvad (5851337), Rasmus Oestergaard Nielsen (577401), Martin Lind (577403) et al. · Figshare · 2018

<p>Flowchart visualizing the flow of runners sustaining injuries during the Run Clever trial.</p>

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Flowchart.

Gregoire Mercier (562319), Jenica Pastor (6680897), Valerie Clément (6680900) et al. · Figshare · 2019

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Flowchart.

Maria C. M. Eriksson (15810655), Jesper Lundgren (354097), Margareta Hellgren (15810658) et al. · Figshare · 2023

<p>In all, 2,439 participants were included, after exclusion of 249 persons with Diabetes Mellitus or cardiovascular disease, and 128 persons with missing data for insulin resistance, psychological distress, or internal health locus of control.</p>

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Flowchart.

Leandro C. de Brito (771988), Rafael A. Rezende (771989), Natan D. da Silva Junior (771990) et al. · Figshare · 2015

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Flowchart.

Delphine Lefeuvre (2615149), Marie-Christine Delmas (2615146), Christophe Marguet (374237) et al. · Figshare · 2016

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Flowchart.

Marjon E. A. Wormgoor (13281639), Aage Indahl (3863071), Jens Egeland (295455) · Figshare · 2022

<p>The initial screening procedure has been reported in a previous publication [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0273216#pone.0273216.ref027" target="_blank">27</a>]; CSP-Comorbid Spinal Pain; BDI- Beck Depression Inventory-II.</p>

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Flowchart.

Haojie Yu (2363896), Minying Liu (1435813), Xingyue Zhang (1554280) et al. · Figshare · 2023

<div><p>Introduction</p><p>Tranexamic acid (TXA) has been proven to prevent thrombolysis and reduce bleeding and blood transfusion requirements in various surgical settings. However, the optimal dose of TXA that effectively reduce intraoperative bleeding and blood product infusion in patients undergoing neurosurgical resection of meningioma with a diameter ≥ 5 cm remains unclear.</p><p>Methods</p><p>This is a single-center, randomized, double-blinded, paralleled-group controlled trial. Patients scheduled to receive elective tumor resection with meningioma diameter ≥ 5 cm will be randomly assigned the high-dose TXA group, the low-dose group, and the placebo. Patients in the high-dose TXA group will be administered with a loading dose of 20 mg/kg TXA followed by continuous infusion TXA at a rate of 5 mg/kg/h. In the low-dose group, patients will receive the same loading dose of TXA followed by a continuous infusion of normal saline. In the control group, patients will receive an identical volume of normal saline. The primary outcome is the estimated intraoperative blood loss calculated using the following formula: collected blood volume in the suction canister (mL)–the volume of flushing (mL) + the volume from the gauze tampon (mL). Secondary outcomes include calculated intraoperative blood loss, intraoperative coagulation function assessed using thromboelastogram (TEG), intraoperative cell salvage use, blood product infusion, and other safety outcomes.</p><p>Discussion</p><p>Preclinical studies suggest that TXA could reduce intraoperative blood loss, yet the optimal dose was controversial. This study is one of the early studies to evaluate the impact of intraoperative different doses infusion of TXA on reducing blood loss in neurological meningioma patients.</p><p>Trial registration</p><p>ClinicalTrials.gov, <a href="https://clinicaltrials.gov/ct2/show/NCT05230381" target="_blank">NCT05230381</a>. Registered on February 8, 2022.</p></div>

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Flowchart.

Veronika Seebacher (3623069), Alexander Reinthaller (780471), Heinz Koelbl (304880) et al. · Figshare · 2017

<p>The process of inclusion and exclusion of patients in order to find the sample of patients included in the present study (= 165).</p>

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