Evidence map›Paper›PMID 37271755›Full record

ArticleScientific reports2023

A novel scale based on biomarkers associated with COVID-19 severity can predict the need for hospitalization and intensive care, as well as enhanced probabilities for mortality.

Eduardo Nieto-Ortega, Alejandro Maldonado-Del-Arenal, Lupita Escudero-Roque, Diana Ali Macedo-Falcon, Ana Elena Escorcia-Saucedo, Adalberto León-Del-Ángel, Alejandro Durán-Méndez, María José Rueda-Medécigo, Karla García-Callejas, Sergio Hernández-Islas and 21 more

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Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

31 authors.

Eduardo Nieto-Ortega *Sociedad Española de Beneficencia, Av. Juárez #908, Col. La Villita, CP42060, Pachuca, Hidalgo, Mexico.
Alejandro Maldonado-Del-Arenal *Sociedad Española de Beneficencia, Av. Juárez #908, Col. La Villita, CP42060, Pachuca, Hidalgo, Mexico.
Lupita Escudero-Roque *Sociedad Española de Beneficencia, Av. Juárez #908, Col. La Villita, CP42060, Pachuca, Hidalgo, Mexico.
Diana Ali Macedo-Falcon *Sociedad Española de Beneficencia, Av. Juárez #908, Col. La Villita, CP42060, Pachuca, Hidalgo, Mexico.
Ana Elena Escorcia-SaucedoSociedad Española de Beneficencia, Av. Juárez #908, Col. La Villita, CP42060, Pachuca, Hidalgo, Mexico.
Adalberto León-Del-ÁngelSociedad Española de Beneficencia, Av. Juárez #908, Col. La Villita, CP42060, Pachuca, Hidalgo, Mexico.
Alejandro Durán-MéndezSociedad Española de Beneficencia, Av. Juárez #908, Col. La Villita, CP42060, Pachuca, Hidalgo, Mexico.
María José Rueda-MedécigoSociedad Española de Beneficencia, Av. Juárez #908, Col. La Villita, CP42060, Pachuca, Hidalgo, Mexico.
Karla García-CallejasSociedad Española de Beneficencia, Av. Juárez #908, Col. La Villita, CP42060, Pachuca, Hidalgo, Mexico.
Sergio Hernández-IslasSociedad Española de Beneficencia, Av. Juárez #908, Col. La Villita, CP42060, Pachuca, Hidalgo, Mexico.
Gabriel Romero-LópezSociedad Española de Beneficencia, Av. Juárez #908, Col. La Villita, CP42060, Pachuca, Hidalgo, Mexico.
Ángel Raúl Hernández-RomeroEscuela Superior de Apan, Universidad Autónoma del Estado de Hidalgo, Carretera Apan‑Calpulalpan s/n, Colonia, 43920, Chimalpa Tlalayote, Hgo, Mexico.
Daniela Pérez-OrtegaSociedad Española de Beneficencia, Av. Juárez #908, Col. La Villita, CP42060, Pachuca, Hidalgo, Mexico.
Estephany Rodríguez-SeguraSociedad Española de Beneficencia, Av. Juárez #908, Col. La Villita, CP42060, Pachuca, Hidalgo, Mexico.
Daniela Montaño-OlmosSociedad Española de Beneficencia, Av. Juárez #908, Col. La Villita, CP42060, Pachuca, Hidalgo, Mexico.
Jeffrey Hernández-MuñozSociedad Española de Beneficencia, Av. Juárez #908, Col. La Villita, CP42060, Pachuca, Hidalgo, Mexico.
Samuel Rodríguez-PeñaSociedad Española de Beneficencia, Av. Juárez #908, Col. La Villita, CP42060, Pachuca, Hidalgo, Mexico.
Montserrat MagosSociedad Española de Beneficencia, Av. Juárez #908, Col. La Villita, CP42060, Pachuca, Hidalgo, Mexico.
Yanira Lizeth Aco-CuamaniSociedad Española de Beneficencia, Av. Juárez #908, Col. La Villita, CP42060, Pachuca, Hidalgo, Mexico.
Nazareth García-ChávezEscuela Superior de Apan, Universidad Autónoma del Estado de Hidalgo, Carretera Apan‑Calpulalpan s/n, Colonia, 43920, Chimalpa Tlalayote, Hgo, Mexico.
Ana Lizeth García-OteroEscuela Superior de Apan, Universidad Autónoma del Estado de Hidalgo, Carretera Apan‑Calpulalpan s/n, Colonia, 43920, Chimalpa Tlalayote, Hgo, Mexico.
Analiz Mejía-RangelEscuela Superior de Apan, Universidad Autónoma del Estado de Hidalgo, Carretera Apan‑Calpulalpan s/n, Colonia, 43920, Chimalpa Tlalayote, Hgo, Mexico.
Valeria Gutiérrez-LosadaEscuela Superior de Apan, Universidad Autónoma del Estado de Hidalgo, Carretera Apan‑Calpulalpan s/n, Colonia, 43920, Chimalpa Tlalayote, Hgo, Mexico.
Miguel Cova-BonillaEscuela Superior de Apan, Universidad Autónoma del Estado de Hidalgo, Carretera Apan‑Calpulalpan s/n, Colonia, 43920, Chimalpa Tlalayote, Hgo, Mexico.
Alma Delia Aguilar-ArroyoEscuela Superior de Apan, Universidad Autónoma del Estado de Hidalgo, Carretera Apan‑Calpulalpan s/n, Colonia, 43920, Chimalpa Tlalayote, Hgo, Mexico.
Araceli Sandoval-GarcíaEscuela Superior de Apan, Universidad Autónoma del Estado de Hidalgo, Carretera Apan‑Calpulalpan s/n, Colonia, 43920, Chimalpa Tlalayote, Hgo, Mexico.
Eneyda Martínez-FranciscoEscuela Superior de Apan, Universidad Autónoma del Estado de Hidalgo, Carretera Apan‑Calpulalpan s/n, Colonia, 43920, Chimalpa Tlalayote, Hgo, Mexico.
Blanca Azucena Vázquez-GarcíaServicio de Imagenología, Hospital Regional de Alta Especialidad de Zumpango, Carretera Zumpango-Jilotzingo 400 Barrio de Santiago 2a Seccion, 55600, Zumpango de Ocampo, Estado de México, Mexico.
Aldo Christiaan Jardínez-VeraEscuela Superior de Apan, Universidad Autónoma del Estado de Hidalgo, Carretera Apan‑Calpulalpan s/n, Colonia, 43920, Chimalpa Tlalayote, Hgo, Mexico.
Alejandro Lechuga-Martín Del CampoSociedad Española de Beneficencia, Av. Juárez #908, Col. La Villita, CP42060, Pachuca, Hidalgo, Mexico.
Alberto N PeónSociedad Española de Beneficencia, Av. Juárez #908, Col. La Villita, CP42060, Pachuca, Hidalgo, Mexico. investigacion@benepachuca.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prognostic scales may help to optimize the use of hospital resources, which may be of prime interest in the context of a fast spreading pandemics. Nonetheless, such tools are underdeveloped in the context of COVID-19. In the present article we asked whether accurate prognostic scales could be developed to optimize the use of hospital resources. We retrospectively studied 467 files of hospitalized patients after COVID-19. The odds ratios for 16 different biomarkers were calculated, those that were significantly associated were screened by a Pearson's correlation, and such index was used to establish the mathematical function for each marker. The scales to predict the need for hospitalization, intensive-care requirement and mortality had enhanced sensitivities (0.91 CI 0.87-0.94; 0.96 CI 0.94-0.98; 0.96 CI 0.94-0.98; all with p < 0.0001) and specificities (0.74 CI 0.62-0.83; 0.92 CI 0.87-0.96 and 0.91 CI 0.86-0.94; all with p < 0.0001). Interestingly, when a different population was assayed, these parameters did not change considerably. These results show a novel approach to establish the mathematical function of a marker in the development of highly sensitive prognostic tools, which in this case, may aid in the optimization of hospital resources. An online version of the three algorithms can be found at: http://benepachuca.no-ip.org/covid/index.php.

Indexed as

COVID-19BiomarkersCritical CareHospitalizationHumansIntensive Care UnitsProbabilityRetrospective StudiesSARS-CoV-2Biomarkers

Identifiers

PMID37271755
PMCPMC10239539

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