Article in Revista Brasileira de terapia intensiva. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07510776 (UP STUDY - Decipher Persistent Critical Illness Through in Deep Clinical Phenotyping.), which is not on this map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
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.
2 · The registry
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.
UP STUDY - Decipher Persistent Critical Illness Through in Deep Clinical Phenotyping.
TypeobservationalSponsorLisbon Academic Medical Center - Centro Académico de Medicina de LisboaRan2025 to 2027Enrolled7,000ConditionsCritical Illness, Recovery Outcomes, Critical Care, Intensive Care, Critical Care
Paulo Telles FreitasHospital Professor Doutor Fernando Fonseca - Amadora, Portugal.ORCID 0000-0002-9513-230X
Isabel Amorim FerreiraHospital Professor Doutor Fernando Fonseca - Amadora, Portugal.ORCID 0000-0001-6987-4521
Tiago RamiresHospital Professor Doutor Fernando Fonseca - Amadora, Portugal.ORCID 0000-0003-1452-5310
Luís Silva Val-FloresHospital de Curry Cabral, Centro Hospitalar Universitário Lisboa Central - Lisboa, Portugal.ORCID 0000-0001-8045-4616
Mariana CascãoHospital de Curry Cabral, Centro Hospitalar Universitário Lisboa Central - Lisboa, Portugal.ORCID 0000-0002-7984-8631
Rita AlvesHospital de Curry Cabral, Centro Hospitalar Universitário Lisboa Central - Lisboa, Portugal.ORCID 0000-0001-8232-8461
Simão C RodeiaHospital de São José, Centro Hospitalar Universitário Lisboa Central - Lisboa, Portugal.ORCID 0000-0002-8121-7900
Cleide BarrigotoHospital de São José, Centro Hospitalar Universitário Lisboa Central - Lisboa, Portugal.ORCID 0000-0001-9756-8310
Rosa CardigaHospital de São José, Centro Hospitalar Universitário Lisboa Central - Lisboa, Portugal.ORCID 0000-0003-0362-062X
Maria João Ferreira da SilvaHospital de Santo António, Centro Hospitalar do Porto - Porto, Portugal.ORCID 0000-0003-3076-5613
Bruno ValeHospital de Santo António, Centro Hospitalar do Porto - Porto, Portugal.ORCID 0000-0003-1867-0849
Tatiana FonsecaHospital Vila Nova de Gaia-Espinho - Vila Nova de Gaia, Portugal.ORCID 0000-0002-8018-7420
Ana Lúcia RiosHospital Vila Nova de Gaia-Espinho - Vila Nova de Gaia, Portugal.
João CamõesHospital Pedro Hispano, Unidade Local de Saúde de Matosinhos - Matosinhos, Portugal.ORCID 0000-0002-7755-8112
Danay PérezHospital Pedro Hispano, Unidade Local de Saúde de Matosinhos - Matosinhos, Portugal.
Susana CabralCentro Hospitalar Universitário de Coimbra - Coimbra, Portugal.ORCID 0000-0002-9257-8680
Maria Inês RibeiroHospital Espírito Santo de Évora - Évora, Portugal.
João João MendesHospital Professor Doutor Fernando Fonseca - Amadora, Portugal.ORCID 0000-0003-0277-3309
João GouveiaHospital de Santa Maria, Centro Hospitalar Universitário Lisboa Norte - Lisboa, Portugal.ORCID 0000-0001-7926-4575
Susana Mendes FernandesHospital de Santa Maria, Centro Hospitalar Universitário Lisboa Norte - Lisboa, Portugal.ORCID 0000-0002-7468-9141
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
objectiveTo analyze and compare COVID-19 patient characteristics, clinical management and outcomes between the peak and plateau periods of the first pandemic wave in Portugal.
methodsThis was a multicentric ambispective cohort study including consecutive severe COVID-19 patients between March and August 2020 from 16 Portuguese intensive care units. The peak and plateau periods, respectively, weeks 10 - 16 and 17 - 34, were defined.
resultsFive hundred forty-one adult patients with a median age of 65 [57 - 74] years, mostly male (71.2%), were included. There were no significant differences in median age (p = 0.3), Simplified Acute Physiology Score II (40 versus 39; p = 0.8), partial arterial oxygen pressure/fraction of inspired oxygen ratio (139 versus 136; p = 0.6), antibiotic therapy (57% versus 64%; p = 0.2) at admission, or 28-day mortality (24.4% versus 22.8%; p = 0.7) between the peak and plateau periods. During the peak period, patients had fewer comorbidities (1 [0 - 3] versus 2 [0 - 5]; p = 0.002) and presented a higher use of vasopressors (47% versus 36%; p < 0.001) and invasive mechanical ventilation (58.1 versus 49.2%; p < 0.001) at admission, prone positioning (45% versus 36%; p = 0.04), and hydroxychloroquine (59% versus 10%; p < 0.001) and lopinavir/ritonavir (41% versus 10%; p < 0.001) prescriptions. However, a greater use of high-flow nasal cannulas (5% versus 16%, p < 0.001) on admission, remdesivir (0.3% versus 15%; p < 0.001) and corticosteroid (29% versus 52%, p < 0.001) therapy, and a shorter ICU length of stay (12 days versus 8, p < 0.001) were observed during the plateau.
conclusionThere were significant changes in patient comorbidities, intensive care unit therapies and length of stay between the peak and plateau periods of the first COVID-19 wave.
Indexed as
COVID-19AdultAgedCohort StudiesCritical CareFemaleHumansIntensive Care UnitsMaleMiddle AgedOxygenPandemicsPortugalOxygen
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.
What changed between the peak and plateau periods of the first COVID-19 pandemic wave? A multicentric Portuguese cohort study in intensive care. · full record | OpenQuestion