Evidence map›Paper›PMID 40704169›Full record

ArticleComputational and structural biotechnology journal2025

The impact of sensor application site on continuous noninvasive haemoglobin trends.

Audrius Andrijauskas, Povilas Andrijauskas, Darius Dilijonas, Ieva Jovaisiene, Arūnas Valaika, Axel Kerroum, Karolis Urbonas, Nadezda Scupakova, Lina Puodžiukaite, Vaidotas Marozas and 6 more

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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

16 authors.

Audrius AndrijauskasClinic of Anaesthesiology and Intensive Care, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, M.K. Čiurlionio str. 21, Vilnius LT-03101, Lithuania.
Povilas AndrijauskasII Department of Anaesthesiology and Intensive Care, Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania.
Darius DilijonasInstitute of Social Sciences and Applied Informatics, Kaunas Faculty, Vilnius University, Muitinės str. 8, Kaunas LT-44280, Lithuania.
Ieva JovaisieneClinic of Anaesthesiology and Intensive Care, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, M.K. Čiurlionio str. 21, Vilnius LT-03101, Lithuania.
Arūnas ValaikaClinic of Cardiac and Vascular Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, M.K. Čiurlionio str. 21, Vilnius LT-03101, Lithuania.
Axel KerroumDepartment of Anesthesiology, Lausanne University Hospital (CHUV), Rue du Bugnon 46, Lausanne 1005, Switzerland.
Karolis UrbonasClinic of Anaesthesiology and Intensive Care, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, M.K. Čiurlionio str. 21, Vilnius LT-03101, Lithuania.
Nadezda ScupakovaClinic of Anaesthesiology and Intensive Care, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, M.K. Čiurlionio str. 21, Vilnius LT-03101, Lithuania.
Lina PuodžiukaiteClinic of Anaesthesiology and Intensive Care, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, M.K. Čiurlionio str. 21, Vilnius LT-03101, Lithuania.
Vaidotas MarozasFaculty of Electrical and Electronics Engineering, Kaunas University of Technology, Studentu str. 50, Kaunas LT-51368, Lithuania.
Edgaras StankeviciusInstitute of Physiology and Pharmacology, Lithuanian University of Health Sciences, Kaunas 44307, Lithuania.
Mindaugas BudraClinic of Cardiac and Vascular Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, M.K. Čiurlionio str. 21, Vilnius LT-03101, Lithuania.
Gintaras KalinauskasClinic of Cardiac and Vascular Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, M.K. Čiurlionio str. 21, Vilnius LT-03101, Lithuania.
Darius CincikasClinic of Anaesthesiology and Intensive Care, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, M.K. Čiurlionio str. 21, Vilnius LT-03101, Lithuania.
Edvin VasilevskiFaculty of Medicine, Vilnius University, M.K. Čiurlionio str. 21, Vilnius LT-03101, Lithuania.
Tomas JovaisaClinic of Anaesthesiology and Intensive Care, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, M.K. Čiurlionio str. 21, Vilnius LT-03101, Lithuania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This prospective observational clinical study investigated discrepancy between noninvasive continuous haemoglobin (SpHb, Masimo Corp., Irvine, CA) measurements with sensors placed on three fingertips during elective cardiac surgery. Materials and methods: The study included 12 adult patients who underwent elective coronary artery bypass grafting (CABG) under cardiopulmonary bypass (CPB). Three identical versions of SpHb sensors were placed on the fingers of the same hand and connected to dedicated Masimo Radical-7 monitors. Data were continuously recorded throughout the surgery. Multiple group comparison tests-Kruskal-Wallis and Alexander-Govern tests-were used to compare three sets of SpHb data (trends). Bland-Altman and Giavarina plots were used to compare the SpHb data with invasive arterial haemoglobin (Lab-Hb) data obtained at clinically relevant time points chosen at the discretion of the cardiac anaesthesiologist, who was blinded to the study protocol. Results: There was a good correlation between the time-matched SpHb data from the three sensors at 253 time points (r = 0.86-0.95), but there was a significant difference between the SpHb values obtained from each sensor and the average SpHb value of all 3 sensors (p < 0.05) at each time point. The absolute difference between the SpHb value obtained from each sensor and the average SpHb value was 0.69 g/dl g/dl (SD 1.49 g/dl). The accuracy and precision of the average SpHb for estimating Lab-Hb was higher compared to the SpHb values obtained from two out of three individual sensors (sn1 and sn3) and very similar compared to values obtained from sensor sn2. Conclusion: The sensor placement site can impact the SpHb measurement causing discrepancy between SpHb measured in different fingers. The average SpHb from three fingertips appears to be more accurate and precise in estimating Lab-Hb. However, more advanced sensors are needed.

Indexed as

Cardiac surgeryMonitoringNoninvasive haemoglobinPPGTranscapillary fluid shift

Identifiers

PMID40704169
PMCPMC12284539

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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.