Sepsis 2016 Agra, India
Bibliographic record
Abstract
Table of contents P1 D-Dimer in adult patients with presumed sepsis and their clinical outcomes Surinder Kumar Sharma, Anurag Rohatgi, Mansi Bajaj P2 Diagnosis of infection utilizing Acellix CD64 Charles L. Sprung, Ricardo Calderon Morales, Harvey Kasdan, Allon Reiter, Tobias Volker, Julien Meissonnier P3 High levels of phenylcarboxylic acids reflect the severity in ICU patients and affect phagocytic activity of neutrophils Natalia Beloborodova, Viktor Moroz, Aleksandra Bedova, Yulia Sarshor, Artem Osipov, Katerina Chernevskaya P4 The role of bacterial phenolic metabolites in mitochondrial dysfunction Nadezhda Fedotcheva, Ekaterina Chernevskaya, Natalia Beloborodova P5 The early diagnosis of severe sepsis and judgment of rapid transport to critical care center: better prognostic factor Hisashi Imahase, Kosuke C Yamada, Yuichiro Sakamoto, Miho Ohta, Ryota Sakurai, Mayuko Yahata, Mitsuru Umeka, Toru Miike, Hiroyuki Koami, Futoshi Nagashima, Takashi Iwamura, Satoshi Inoue P6 Translational neuromodulation of the immune system Zhifeng Li, Dennis Grech, Patrick Morcillo, Alex Bekker, Luis Ulloa P7 Pathway-level meta-analysis reveals transcriptional signature of septic shock Samanwoy Mukhopadhyay, Abhay D Pandey, Samsiddhi Bhattacharjee, Saroj K Mohapatra P8 Antibiotic dosing in septic patients on the critical care unit - a literature review Julie K Wilson P9 Pandemic of Escherichia coli clone O25: H4-ST131 producing CTX-M-15 extended spectrum- β- lactamase- as serious cause of multidrug resistance extraintestinal pathogenic E. coli infections in India Savita Jadhav, Rabindra Nath Misra, Nageswari Gandham, Kalpana Angadi, Chanda Vywahare, Neetu Gupta, Deepali Desai P10 Detection and characterization of meningitis using a DDA-based mass spectrometry approach Anahita Bakochi, Tirthankar Mohanty, Adam Linder, Johan Malmström P11 Diagnostic usefulness of lipid profile and procalcitonin in sepsis and trauma patients Dimple Anand, Seema Bhargava, Lalit Mohan Srivastava, Sumit Ray P12 Heparin – a novel therapeutic in sepsis? Jane Fisher, Peter Bentzer, Adam Linder P13 Hypothalamic impairment is associated with vasopressin deficiency during sepsis Luis Henrique Angenendt da Costa, Nilton Nascimentos dos Santos Júnior Carlos Henrique Rocha Catalão, Maria José Alves da Rocha P14 Presepsin (soluble CD14 subtype) is a dependable prognostic marker in critical septic patients Alfredo Focà, Cinzia Peronace, Giovanni Matera, Aida Giancotti, Giorgio Settimo Barreca, Angela Quirino, Maria Teresa Loria, Pio Settembre, Maria Carla Liberto, Bruno Amantea P15 Safety and efficacy of gelatin-containing solutions versus crystalloids and albumin - a systematic review with quantitative and qualitative summaries Christiane Hartog, Christiane Hartog, Claudia Moeller, Carolin Fleischmann, Daniel Thomas-Rueddel, Vlasislav Vlasakov, Bram Rochwerg, Philip Theurer, Konrad Reinhart P16 Immunomodulatory properties of peripheral blood mesenchymal stem cells following endotoxin stimulation in an equine model Anna E. Smith, Sandra D. Taylor P17 Frequency and outcome of early sepsis-associated coagulopathy Christopher Da Costa, Amanda Radford, Terry Lee, Joel Singer, John Boyd, David Fineberg, Mark Williams, James A Russell
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.476 | 0.347 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".