Evidence map›Paper›PMID 41503451›Full record

ArticleBJA open2026

Access to haemodynamic evaluation tools in middle-income countries: a survey of 1593 anaesthetists and intensivists from 39 nations.

Frederic Michard, Jigeeshu Divatia, Flavio E Nacul, Syarifah N N S Masri, Suraphong Lorsomradee, Vanina Kanoore-Edul, Eduardo Kattan, Asli Z Demir, Francisco Chacon-Lozsan, Ever L Rojas-Diaz and 2 more

Abstract read
In one paragraph

Article in BJA open, 2026. 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. Review
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

12 authors.

Frederic MichardMiCo, Vallamand, Switzerland.
Jigeeshu DivatiaDepartment of Critical Care Medicine, Lilavati Hospital and Research Centre, Mumbai, India.
Flavio E NaculCritical Care Medicine, University Hospital, Federal University of Rio de Janeiro & Pro-Cardiaco Hospital, Rio de Janeiro-RJ, Brazil.
Syarifah N N S MasriDepartment of Anaesthesiology and Intensive Care, Hospital Canselor Tuanku Muhriz, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
Suraphong LorsomradeeDepartment of Anesthesiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Vanina Kanoore-EdulDivisión de Terapia Intensiva, Hospital Juan A. Fernández, Ciudad Autónoma de Buenos Aires, Argentina.
Eduardo KattanDepartamento de Medicina Intensiva, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
Asli Z DemirDepartment of Anesthesiology, Bilkent City Hospital, Turkey University of Health Sciences, Ankara, Turkey.
Francisco Chacon-LozsanAnesthesia and Intensive care Unit, Péterfy Sándor Hospital, Budapest, Hungary.
Ever L Rojas-DiazDepartment of Intensive and Critical Care Medicine, Academic Hospital Fundación Santa Fe de Bogota, Bogotá, Colombia.
Manu L N G MalbrainFirst Department of Anaesthesiology and Intensive Therapy, Medical University of Lublin, Lublin, Poland.
Michelle S ChewDepartment of Perioperative Medicine and Intensive Care, Karolinska University Hospital, Huddinge, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Approximately 75% of the world's population lives in middle-income countries (MICs), where access to haemodynamic evaluation tools may be limited, exacerbating global healthcare disparities. Methods: We conducted an online survey of anaesthetists and intensivists working in MICs, inviting them to complete 15 questions on bedside haemodynamic evaluations and access to haemodynamic monitoring tools. Results: We analysed 1593 valid questionnaires from 20 Upper and 19 Lower MICs. Most respondents (66%) worked in academic hospitals, 43% in private hospitals, and 20% in non-academic public hospitals. Respondents worked in ICUs (39%), operating rooms (38%), or both (23%). Nearly all had access to central venous catheters (99%) and invasive radial arterial pressure monitoring (91%). Fewer than two-thirds (63%) reported access to echocardiography, and only 37% had access to cardiac output monitoring systems when needed. The main barriers were the cost of monitors (54%) and the cost of disposable sensors (52%). Notably, 72% indicated they would use cardiac output monitoring equipment more frequently if costs were reduced. Most respondents (89%) reported a routine practice of predicting fluid responsiveness before giving a fluid bolus, most commonly with pulse pressure variation (64%) or ultrasound indices (55%). Tissue perfusion was mainly assessed by clinical evaluation (86%), blood lactate (81%), and capillary refill time (63%). Conclusions: In MICs, less than two-thirds of anaesthetists and intensivists reported having access to echocardiography for haemodynamic assessment. Fewer than 40% have access to cardiac output monitoring systems, mainly attributable to economic constraints. As this report represents a potential concerning equity gap in global healthcare, efforts should be made to prioritise and facilitate access to haemodynamic evaluation tools in MICs.

Indexed as

anaesthesiologyechocardiographyhaemodynamic monitoringinequityintensive careperioperative medicinetechquity

Identifiers

PMID41503451
PMCPMC12768935

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.