14 research outputs found
Correction to:Investigating recurrence in pilonidal sinus disease: results of a nationwide, multicenter study in Turkey (PISI TURKEY)
No full textThe collaborative Author names are missing in the published proof. The Supplementary material is updated with 2 additional names in the collaborative Author’s list. Ali Yalcinkaya, Ahmet Yalcinkaya, Sezai Leventoglu, Bengi Balci, Alp Ozgun Borcek, Elif Ozeller, Ece Ozturk, Gulsum Sueda Kayacan, Berkay Enes Karaca, Ahmet Faruk Oyanik, Omer Faruk Gul, Basak Bolukbasi, Huseyin Gobut, Cagri Buyukkasap, Aydin Yavuz, Dara Aydin, Zeynep Akdagcik, Alina Pataeva, Douigou Hasan, Omar Hussein, Arda Ozgur Ozturk, Cem Arda Elumar, Ali Derman Dere, Asra Zeynep Balci, Rasim Ozturk, Yasar Copelci, Murat Kartal, Serkan Tayar, Mustafa Yeni, Tolga Kalayci, Ramazan Yavuz, Bulent Calik, Semra Demirli Atici, Selen Ozturk, Gizem Kilinc, Korhan Tuncer, Cengiz Aydin, Mustafa Yener Uzunoglu, Alp Yildiz, Aybala Yildiz, Can Sahin, Mehmet Caglikulekci, Elbrus Zarbaliyev, Murat Sevmis, Baris Sevinc, Nurullah Damburaci, Omer Karahan, Ozgen Isik, Said Kural, Xhenet Hysejni, Ahmet Aktas, Baris Yildiz, Gultekin Ozan Kucuk, Ahmet Can Sari, Mert Candan, Mehmet Mahir Ozmen, Cem Emir Guldogan, Emre Gundogdu, Munevver Moran, Mevlut Recep Pekcici, Saygin Altiner, Enes Cebeci, Tugba Yigit, Bedri Burak Sucu, Mert Col, Omer Faruk, Ozkan Hanife, Seyda Ulgur, Murat Kalin, Emre Furkan Kirkan, Abdullah Yildiz, Sema Yukseksag, Cagri Buyukkasap, Erdinc Kamer, Mesut Ozogul, Nihan Acar, Melek Gokova Bekler, Arif Atay, Halis Bag, Server Sezgin Uludag, Ahmet Necati Sanli, Sefa Ergun, Ergin Erginoz, Veysi Basbayandur, Mehmet Faik Ozcelik, Ahmet Askar, Yuksel Altinel, Adnan Hacim, Serhat Meric, Merve Tokocin, Talar Aktokmakyan, Yunus Aktimur, Kamil Ozdogan, Fikret Calikoglu, Tugba Koc Calikoglu, Ahmet Barcin, Ahmed Salhat, Guray Durmaz, Volkan Ozben, Erman Aytac, Zumrud Aliyeva, Arda Ulas Mutlu, Mert Tanal, Mustafa Fevzi Celayir, Aydin Eray, Tufan Ali Yuksel, Elif Baran, Banu Yigit, Erhan Eroz, Aykhan Abbasov, Hakan Yanar, Huseyin Onur Aydin, Murathan Erkent, Tugan Tezcaner, Tevfik Avci, Murat Kus, Mehmet Abdussamet Bozkurt, Adem Ozcan, Nezihe Berrin Dodur Onalan, Serhan Yilmaz, Yasin Kara, Ali Kocatas, Fatih Yanar, Ali Fuat Kaan Gok, Irem Karatas, Berke Sengun, Ilknur Erenler Bayraktar, Onur Bayraktar, Zulal Emsal, Irem Dalkilic, Cengiz Dibekoglu, Sami Acar, Erman Ciftci, Yunus Yapalak, Cihad Tatar, Mert Mahsuni Sevinc, Ali Emre Nayci, Egemen Saygili, Yavuz Selim Komek, Bayram Kaymak, Fatih Altintoprak, Emrah Akin, Necattin Firat, Emre Gonullu, Ugur Can Dulger, Atilla Kurt, Sinan Soylu, Musa Serin, Omer Topcu, Ali Cihat Yildirim, Mehmet Fatih Ekici, Sezgin Zeren, Ismail Ahmet Bilgin, Tayfun Karahasanoglu, Ismail Hamzaoglu, Afag Aghayeva, Bilgi Baca, Inci Sahin, Osman Bozbiyik, Mustafa Ozgur Kilincarslan, Mustafa Ali Korkut, Erhan Akgun, Cemil Caliskan, Tayfun Yoldas, Timucin Erol, Hilmi Anil Dincer, Omer Cennet, Muhammed Salih Suer, Muhammet Bunyamin Dalkilic, Ibrahim Alkan, Busenur Kirimtay, Emre Balik, Emre Ozoran, Ibrahim Halil Ozata, Derya Salim Uymaz, Tutku Tufekci, Salih Nafiz Karahan, Orhan Agcaoglu, Naciye Cigdem Arslan, Mehmet Yilmaz, Orhan Ureyen, Can Murat Kale, Enver Ilhan, Eray Kara, Semra Tutcu Sahin, Onur Haspolat, Alperen Dalkiran, Ergun Yuksel, Mehmet Kocaoglu, Omer Tasan, Cevdet Tokat, Cihan Ozen, Alptug Mertcan Koc The Original article has been corrected.</p
Comparison of Intra-operative Pressure-Controlled Ventilation and Volume-Controlled Ventilation in Bariatric Surgery: A Prospective Randomized Study
No full textBackground: Mechanical ventilation may be particularly challenging in obese patients undergoing laparoscopic bariatric surgery. The present study aimed to compare the effects of pressure-controlled ventilation (PCV) with those of volume-controlled ventilation (VCV) on peripheral tissue oxygenation (PTO), respiratory function, hemodynamic status, and ventilation-related complications in patients undergoing laparoscopic bariatric surgery
Correction to:Investigating recurrence in pilonidal sinus disease: results of a nationwide, multicenter study in Turkey (PISI TURKEY)
No full textThe collaborative Author names are missing in the published proof. The Supplementary material is updated with 2 additional names in the collaborative Author’s list. Ali Yalcinkaya, Ahmet Yalcinkaya, Sezai Leventoglu, Bengi Balci, Alp Ozgun Borcek, Elif Ozeller, Ece Ozturk, Gulsum Sueda Kayacan, Berkay Enes Karaca, Ahmet Faruk Oyanik, Omer Faruk Gul, Basak Bolukbasi, Huseyin Gobut, Cagri Buyukkasap, Aydin Yavuz, Dara Aydin, Zeynep Akdagcik, Alina Pataeva, Douigou Hasan, Omar Hussein, Arda Ozgur Ozturk, Cem Arda Elumar, Ali Derman Dere, Asra Zeynep Balci, Rasim Ozturk, Yasar Copelci, Murat Kartal, Serkan Tayar, Mustafa Yeni, Tolga Kalayci, Ramazan Yavuz, Bulent Calik, Semra Demirli Atici, Selen Ozturk, Gizem Kilinc, Korhan Tuncer, Cengiz Aydin, Mustafa Yener Uzunoglu, Alp Yildiz, Aybala Yildiz, Can Sahin, Mehmet Caglikulekci, Elbrus Zarbaliyev, Murat Sevmis, Baris Sevinc, Nurullah Damburaci, Omer Karahan, Ozgen Isik, Said Kural, Xhenet Hysejni, Ahmet Aktas, Baris Yildiz, Gultekin Ozan Kucuk, Ahmet Can Sari, Mert Candan, Mehmet Mahir Ozmen, Cem Emir Guldogan, Emre Gundogdu, Munevver Moran, Mevlut Recep Pekcici, Saygin Altiner, Enes Cebeci, Tugba Yigit, Bedri Burak Sucu, Mert Col, Omer Faruk, Ozkan Hanife, Seyda Ulgur, Murat Kalin, Emre Furkan Kirkan, Abdullah Yildiz, Sema Yukseksag, Cagri Buyukkasap, Erdinc Kamer, Mesut Ozogul, Nihan Acar, Melek Gokova Bekler, Arif Atay, Halis Bag, Server Sezgin Uludag, Ahmet Necati Sanli, Sefa Ergun, Ergin Erginoz, Veysi Basbayandur, Mehmet Faik Ozcelik, Ahmet Askar, Yuksel Altinel, Adnan Hacim, Serhat Meric, Merve Tokocin, Talar Aktokmakyan, Yunus Aktimur, Kamil Ozdogan, Fikret Calikoglu, Tugba Koc Calikoglu, Ahmet Barcin, Ahmed Salhat, Guray Durmaz, Volkan Ozben, Erman Aytac, Zumrud Aliyeva, Arda Ulas Mutlu, Mert Tanal, Mustafa Fevzi Celayir, Aydin Eray, Tufan Ali Yuksel, Elif Baran, Banu Yigit, Erhan Eroz, Aykhan Abbasov, Hakan Yanar, Huseyin Onur Aydin, Murathan Erkent, Tugan Tezcaner, Tevfik Avci, Murat Kus, Mehmet Abdussamet Bozkurt, Adem Ozcan, Nezihe Berrin Dodur Onalan, Serhan Yilmaz, Yasin Kara, Ali Kocatas, Fatih Yanar, Ali Fuat Kaan Gok, Irem Karatas, Berke Sengun, Ilknur Erenler Bayraktar, Onur Bayraktar, Zulal Emsal, Irem Dalkilic, Cengiz Dibekoglu, Sami Acar, Erman Ciftci, Yunus Yapalak, Cihad Tatar, Mert Mahsuni Sevinc, Ali Emre Nayci, Egemen Saygili, Yavuz Selim Komek, Bayram Kaymak, Fatih Altintoprak, Emrah Akin, Necattin Firat, Emre Gonullu, Ugur Can Dulger, Atilla Kurt, Sinan Soylu, Musa Serin, Omer Topcu, Ali Cihat Yildirim, Mehmet Fatih Ekici, Sezgin Zeren, Ismail Ahmet Bilgin, Tayfun Karahasanoglu, Ismail Hamzaoglu, Afag Aghayeva, Bilgi Baca, Inci Sahin, Osman Bozbiyik, Mustafa Ozgur Kilincarslan, Mustafa Ali Korkut, Erhan Akgun, Cemil Caliskan, Tayfun Yoldas, Timucin Erol, Hilmi Anil Dincer, Omer Cennet, Muhammed Salih Suer, Muhammet Bunyamin Dalkilic, Ibrahim Alkan, Busenur Kirimtay, Emre Balik, Emre Ozoran, Ibrahim Halil Ozata, Derya Salim Uymaz, Tutku Tufekci, Salih Nafiz Karahan, Orhan Agcaoglu, Naciye Cigdem Arslan, Mehmet Yilmaz, Orhan Ureyen, Can Murat Kale, Enver Ilhan, Eray Kara, Semra Tutcu Sahin, Onur Haspolat, Alperen Dalkiran, Ergun Yuksel, Mehmet Kocaoglu, Omer Tasan, Cevdet Tokat, Cihan Ozen, Alptug Mertcan Koc The Original article has been corrected.</p
Correction to:Investigating recurrence in pilonidal sinus disease: results of a nationwide, multicenter study in Turkey (PISI TURKEY) (International Journal of Colorectal Disease, (2025), 40, 1, (194), 10.1007/s00384-025-04921-x)
No full textThe collaborative Author names are missing in the published proof. The Supplementary material is updated with 2 additional names in the collaborative Author’s list. Ali Yalcinkaya, Ahmet Yalcinkaya, Sezai Leventoglu, Bengi Balci, Alp Ozgun Borcek, Elif Ozeller, Ece Ozturk, Gulsum Sueda Kayacan, Berkay Enes Karaca, Ahmet Faruk Oyanik, Omer Faruk Gul, Basak Bolukbasi, Huseyin Gobut, Cagri Buyukkasap, Aydin Yavuz, Dara Aydin, Zeynep Akdagcik, Alina Pataeva, Douigou Hasan, Omar Hussein, Arda Ozgur Ozturk, Cem Arda Elumar, Ali Derman Dere, Asra Zeynep Balci, Rasim Ozturk, Yasar Copelci, Murat Kartal, Serkan Tayar, Mustafa Yeni, Tolga Kalayci, Ramazan Yavuz, Bulent Calik, Semra Demirli Atici, Selen Ozturk, Gizem Kilinc, Korhan Tuncer, Cengiz Aydin, Mustafa Yener Uzunoglu, Alp Yildiz, Aybala Yildiz, Can Sahin, Mehmet Caglikulekci, Elbrus Zarbaliyev, Murat Sevmis, Baris Sevinc, Nurullah Damburaci, Omer Karahan, Ozgen Isik, Said Kural, Xhenet Hysejni, Ahmet Aktas, Baris Yildiz, Gultekin Ozan Kucuk, Ahmet Can Sari, Mert Candan, Mehmet Mahir Ozmen, Cem Emir Guldogan, Emre Gundogdu, Munevver Moran, Mevlut Recep Pekcici, Saygin Altiner, Enes Cebeci, Tugba Yigit, Bedri Burak Sucu, Mert Col, Omer Faruk, Ozkan Hanife, Seyda Ulgur, Murat Kalin, Emre Furkan Kirkan, Abdullah Yildiz, Sema Yukseksag, Cagri Buyukkasap, Erdinc Kamer, Mesut Ozogul, Nihan Acar, Melek Gokova Bekler, Arif Atay, Halis Bag, Server Sezgin Uludag, Ahmet Necati Sanli, Sefa Ergun, Ergin Erginoz, Veysi Basbayandur, Mehmet Faik Ozcelik, Ahmet Askar, Yuksel Altinel, Adnan Hacim, Serhat Meric, Merve Tokocin, Talar Aktokmakyan, Yunus Aktimur, Kamil Ozdogan, Fikret Calikoglu, Tugba Koc Calikoglu, Ahmet Barcin, Ahmed Salhat, Guray Durmaz, Volkan Ozben, Erman Aytac, Zumrud Aliyeva, Arda Ulas Mutlu, Mert Tanal, Mustafa Fevzi Celayir, Aydin Eray, Tufan Ali Yuksel, Elif Baran, Banu Yigit, Erhan Eroz, Aykhan Abbasov, Hakan Yanar, Huseyin Onur Aydin, Murathan Erkent, Tugan Tezcaner, Tevfik Avci, Murat Kus, Mehmet Abdussamet Bozkurt, Adem Ozcan, Nezihe Berrin Dodur Onalan, Serhan Yilmaz, Yasin Kara, Ali Kocatas, Fatih Yanar, Ali Fuat Kaan Gok, Irem Karatas, Berke Sengun, Ilknur Erenler Bayraktar, Onur Bayraktar, Zulal Emsal, Irem Dalkilic, Cengiz Dibekoglu, Sami Acar, Erman Ciftci, Yunus Yapalak, Cihad Tatar, Mert Mahsuni Sevinc, Ali Emre Nayci, Egemen Saygili, Yavuz Selim Komek, Bayram Kaymak, Fatih Altintoprak, Emrah Akin, Necattin Firat, Emre Gonullu, Ugur Can Dulger, Atilla Kurt, Sinan Soylu, Musa Serin, Omer Topcu, Ali Cihat Yildirim, Mehmet Fatih Ekici, Sezgin Zeren, Ismail Ahmet Bilgin, Tayfun Karahasanoglu, Ismail Hamzaoglu, Afag Aghayeva, Bilgi Baca, Inci Sahin, Osman Bozbiyik, Mustafa Ozgur Kilincarslan, Mustafa Ali Korkut, Erhan Akgun, Cemil Caliskan, Tayfun Yoldas, Timucin Erol, Hilmi Anil Dincer, Omer Cennet, Muhammed Salih Suer, Muhammet Bunyamin Dalkilic, Ibrahim Alkan, Busenur Kirimtay, Emre Balik, Emre Ozoran, Ibrahim Halil Ozata, Derya Salim Uymaz, Tutku Tufekci, Salih Nafiz Karahan, Orhan Agcaoglu, Naciye Cigdem Arslan, Mehmet Yilmaz, Orhan Ureyen, Can Murat Kale, Enver Ilhan, Eray Kara, Semra Tutcu Sahin, Onur Haspolat, Alperen Dalkiran, Ergun Yuksel, Mehmet Kocaoglu, Omer Tasan, Cevdet Tokat, Cihan Ozen, Alptug Mertcan Koc The Original article has been corrected.</p
Distribution of first and last author sex.
No full textArtificial intelligence (AI) and machine learning are central components of today’s medical environment. The fairness of AI, i.e. the ability of AI to be free from bias, has repeatedly come into question. This study investigates the diversity of members of academia whose scholarship poses questions about the fairness of AI. The articles that combine the topics of fairness, artificial intelligence, and medicine were selected from Pubmed, Google Scholar, and Embase using keywords. Eligibility and data extraction from the articles were done manually and cross-checked by another author for accuracy. Articles were selected for further analysis, cleaned, and organized in Microsoft Excel; spatial diagrams were generated using Public Tableau. Additional graphs were generated using Matplotlib and Seaborn. Linear and logistic regressions were conducted using Python to measure the relationship between funding status, number of citations, and the gender demographics of the authorship team. We identified 375 eligible publications, including research and review articles concerning AI and fairness in healthcare. Analysis of the bibliographic data revealed that there is an overrepresentation of authors that are white, male, and are from high-income countries, especially in the roles of first and last author. Additionally, analysis showed that papers whose authors are based in higher-income countries were more likely to be cited more often and published in higher impact journals. These findings highlight the lack of diversity among the authors in the AI fairness community whose work gains the largest readership, potentially compromising the very impartiality that the AI fairness community is working towards.</div
Global dispersion of first and last author countries.
No full textBase map found at https://www.openstreetmap.org/#map=2/43.8/3.2 and data from OpenStreetMap and OpenStreetMap Foundation. Contains information from OpenStreetMap and OpenStreetMap Foundation, which is made available under the Open Database License, found here: https://www.openstreetmap.org/copyright.</p
A scientometric analysis of fairness in health AI literature.
No full textArtificial intelligence (AI) and machine learning are central components of today's medical environment. The fairness of AI, i.e. the ability of AI to be free from bias, has repeatedly come into question. This study investigates the diversity of members of academia whose scholarship poses questions about the fairness of AI. The articles that combine the topics of fairness, artificial intelligence, and medicine were selected from Pubmed, Google Scholar, and Embase using keywords. Eligibility and data extraction from the articles were done manually and cross-checked by another author for accuracy. Articles were selected for further analysis, cleaned, and organized in Microsoft Excel; spatial diagrams were generated using Public Tableau. Additional graphs were generated using Matplotlib and Seaborn. Linear and logistic regressions were conducted using Python to measure the relationship between funding status, number of citations, and the gender demographics of the authorship team. We identified 375 eligible publications, including research and review articles concerning AI and fairness in healthcare. Analysis of the bibliographic data revealed that there is an overrepresentation of authors that are white, male, and are from high-income countries, especially in the roles of first and last author. Additionally, analysis showed that papers whose authors are based in higher-income countries were more likely to be cited more often and published in higher impact journals. These findings highlight the lack of diversity among the authors in the AI fairness community whose work gains the largest readership, potentially compromising the very impartiality that the AI fairness community is working towards
Delayed colorectal cancer care during covid-19 pandemic (decor-19). Global perspective from an international survey
No full textBackground
The widespread nature of coronavirus disease 2019 (COVID-19) has been unprecedented. We sought to analyze its global impact with a survey on colorectal cancer (CRC) care during the pandemic.
Methods
The impact of COVID-19 on preoperative assessment, elective surgery, and postoperative management of CRC patients was explored by a 35-item survey, which was distributed worldwide to members of surgical societies with an interest in CRC care. Respondents were divided into two comparator groups: 1) ‘delay’ group: CRC care affected by the pandemic; 2) ‘no delay’ group: unaltered CRC practice.
Results
A total of 1,051 respondents from 84 countries completed the survey. No substantial differences in demographics were found between the ‘delay’ (745, 70.9%) and ‘no delay’ (306, 29.1%) groups. Suspension of multidisciplinary team meetings, staff members quarantined or relocated to COVID-19 units, units fully dedicated to COVID-19 care, personal protective equipment not readily available were factors significantly associated to delays in endoscopy, radiology, surgery, histopathology and prolonged chemoradiation therapy-to-surgery intervals. In the ‘delay’ group, 48.9% of respondents reported a change in the initial surgical plan and 26.3% reported a shift from elective to urgent operations. Recovery of CRC care was associated with the status of the outbreak. Practicing in COVID-free units, no change in operative slots and staff members not relocated to COVID-19 units were statistically associated with unaltered CRC care in the ‘no delay’ group, while the geographical distribution was not.
Conclusions
Global changes in diagnostic and therapeutic CRC practices were evident. Changes were associated with differences in health-care delivery systems, hospital’s preparedness, resources availability, and local COVID-19 prevalence rather than geographical factors. Strategic planning is required to optimize CRC care
Additional information and data.
No full textArtificial intelligence (AI) and machine learning are central components of today’s medical environment. The fairness of AI, i.e. the ability of AI to be free from bias, has repeatedly come into question. This study investigates the diversity of members of academia whose scholarship poses questions about the fairness of AI. The articles that combine the topics of fairness, artificial intelligence, and medicine were selected from Pubmed, Google Scholar, and Embase using keywords. Eligibility and data extraction from the articles were done manually and cross-checked by another author for accuracy. Articles were selected for further analysis, cleaned, and organized in Microsoft Excel; spatial diagrams were generated using Public Tableau. Additional graphs were generated using Matplotlib and Seaborn. Linear and logistic regressions were conducted using Python to measure the relationship between funding status, number of citations, and the gender demographics of the authorship team. We identified 375 eligible publications, including research and review articles concerning AI and fairness in healthcare. Analysis of the bibliographic data revealed that there is an overrepresentation of authors that are white, male, and are from high-income countries, especially in the roles of first and last author. Additionally, analysis showed that papers whose authors are based in higher-income countries were more likely to be cited more often and published in higher impact journals. These findings highlight the lack of diversity among the authors in the AI fairness community whose work gains the largest readership, potentially compromising the very impartiality that the AI fairness community is working towards.</div
Nationwide prospective audit for the evaluation of appendicitis risk prediction models in adults: Right iliac fossa treatment (RIFT) - Turkey
No full textBackground: Appendicitis is the most prevalent surgical emergency. The negative appendicectomy rate and diagnostic uncertainty are important concerns. This study aimed to assess the effectiveness of current appendicitis risk prediction models in patients with acute right iliac fossa pain. Methods: A nationwide prospective observational study was conducted, including all consecutive adult patients who presented with right iliac fossa pain. Diagnostic, clinical and negative appendicectomy rate data were recorded. The Alvarado score, Appendicitis Inflammatory Response (AIR), Raja Isteri Pengiran Anak Saleha Appendicitis (RIPASA) and Adult Appendicitis Score systems were calculated with collected data to classify patients into risk categories. Diagnostic value and categorization performance were evaluated, with use of risk category-based metrics including 'true positive rate' (percentage of appendicitis patients in the highest risk category), 'failure rate' (percentage of patients with appendicitis in the lowest risk category) and 'categorization resolution' (true positive rate/failure rate). Results: A total of 3358 patients from 84 centres were included. Female patients were less likely to undergo surgery than men (71.5% versus 82.5% respectively; relative risk 0.866, 95% c.i. 0.834 to 0.901, P 0.001); with a three-fold higher negative appendicectomy rate (11.3% versus 4.1% respectively; relative risk 2.744, 95% c.i. 2.047 to 3.677, P 0.001). Ultrasonography was utilized in 56.8% and computed tomography in 75.2% of all patients. The Adult Appendicitis Score had the best diagnostic performance for the whole population; however, only RIPASA was significant in men. All scoring systems were successful in females patients, but Adult Appendicitis Score had the highest area under the receiver operating characteristic curve value. The RIPASA and the Adult Appendicitis Score had the best categorization resolution values, complemented by their exceedingly low failure rates in both male and female patients. Alvarado and AIR had extremely high failure rates in men. Conclusion: The negative appendicectomy rate was low overall, but women had an almost three-fold higher negative appendicectomy rate despite lower likelihood to undergo surgery. The overuse of imaging tests, best exemplified by the 75.2% frequency of patients undergoing computed tomography, may lead to increased costs. Risk-scoring systems such as RIPASA and Adult Appendicitis Score appear to be superior to Alvarado and AIR. © 2024 The Author(s). Published by Oxford University Press on behalf of BJS Foundation Ltd.Tibbi Akademi
