Evidence map›Paper›PMID 42886360›Full record

ArticlePediatric cardiology2026

Congenital Cardiac Surgical Workforce Inequities Across 194 Countries: A Global Cross-Sectional Analysis.

Jeevan Francis, Antonio F Corno, Ed Peng

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In one paragraph

Article in Pediatric cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Jeevan FrancisDepartment of Cardiac Surgery, St Thomas' Hospital, London, UK. Jeevanfrancis15@gmail.com.
Antonio F CornoFaculty of Science and Engineering, Manchester Metropolitan University, Manchester, UK.
Ed PengDepartment of Paediatric Cardiac Surgery, Scottish Paediatric Cardiac Services, Royal Hospital for Children, Glasgow, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Congenital heart disease is the most common birth defect globally, yet access to surgery remains inequitable. The availability of congenital heart surgeons (CHS) relative to paediatric population needs is poorly defined. A cross-sectional study of the Cardiothoracic Surgery Network was conducted across 194 United Nations-recognised countries and 54 territories and dependencies (T&Ds). Of 248 countries and T&Ds analysed, 123 (49.6%) had ≥ 1 CHS. A total of 4,296 CHS were identified; 71 (37% of recognised) countries with 189.5 million children had none. Low-income countries had a median of 0.15 CHS per million children compared with 9.29 in high-income countries. CHS density was strongly correlated with gross domestic product per capita. Average CHS ratios per million children were: high-income country 9.3, upper-middle-income country 2.0, lower-middle-income country 1.1, and low-income country 0.2 (p < 0.0001), representing a 46-fold disparity between high-income countries and low-income countries. Regional analysis showed North America and Europe had the highest CHS ratios (≥ 9 per million), and Sub-Saharan Africa and East Asia and Pacific had medians of zero (p < 0.0001). Only 3 T&Ds reported at least one CHS. Our findings confirm that human resource levels are even more disproportionate than previously estimated. A significant proportion of children globally remain without access to cardiac surgery, representing a major and largely unquantified burden of preventable morbidity and mortality. Accurately quantifying this unmet need should be an urgent priority for future population-level and health systems research.

Indexed as

CHDChild healthCongenital heart diseaseCongenital heart surgeonsGlobal surgeryWorkforce

Identifiers

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Textmetadata
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Registered trials

None linked

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.