Mapping the landscape of machine learning models used for predicting transfusions in surgical procedures: a scoping review

Duranteau, Olivier; Blanchard, Florian; Popoff, Benjamin; van Etten-Jamaludin, Faridi S.; Tuna, Turgay; Preckel, Benedikt

doi:10.1186/s12911-024-02729-3

BMC Medical Informatics and Decision Making

Table 2 General data on studies

From: Mapping the landscape of machine learning models used for predicting transfusions in surgical procedures: a scoping review

Study N°	Reference	Publication Date	Country	Academic hospital	Multicentre authors	Study design	Funding sources	Registered	Ethics committee	Software used	code access
1	[12]	2021	China	Yes	Yes	Retrospective	public grant	clinical trials	Local	non described	open (git hub etc.)
2	[13]	1989	USA	Yes	No	Retrospective	no information	no information	no information	non described	open (git hub etc.)
3	[14]	2010	USA	Yes	No	Retrospective	none	none	Local	SAS	blinded
4	[15]	2019	China	Yes	Yes	Retrospective	none	none	Local	Python	open (git hub etc.)
5	[16]	2020	USA	Yes	Yes	Retrospective	none	none	none	R SPSS	blinded
6	[17]	2021	USA	Yes	No	Retrospective	none	none	National	Google Cloud Platform	blinded
7	[18]	2021	China	Yes	No	Retrospective	public grant	none	Local	R SPSS	blinded
8	[19]	2022	USA	Yes	Yes	Retrospective	private grant	none	Local	non described	blinded
9	[20]	2021	China	Yes	No	Retrospective	private grant	none	Local	R	blinded
10	[21]	2021	China	Yes	Yes	Retrospective	none	none	Local	SPSS	open (git hub etc.)
11	[22]	2020	China	Yes	No	Retrospective	none	none	Local	R SPSS	open (git hub etc.)
12	[23]	2017	Austria	Yes	Yes	Retrospective	public grant	none	none	MATLAB	blinded
13	[24]	2021	UK	Yes	Yes	Retrospective	public grant	none	National	agenaRisk	open (git hub etc.)
14	[25]	2015	USA	Yes	No	Retrospective	public grant	none	none	non described	blinded
15	[26]	2003	USA	Yes	No	Retrospective	public grant	none	none	S-plus	blinded
16	[27]	2017	USA	Yes	Yes	Retrospective	none	none	none	R	blinded
17	[28]	2004	Canada	Yes	No	Retrospective	none	none	none	SAS	blinded
18	[29]	2017	USA	No	No	Retrospective	none	none	none	SAS	blinded
19	[30]	2009	France	Yes	No	Retrospective	none	none	Local	Excel JMP	blinded
20	[31]	2020	USA	Yes	Yes	Prospective	none	none	National	Python	blinded
21	[32]	2021	China	Yes	No	Retrospective	public grant	none	Local	non described	blinded
22	[33]	2021	China	Yes	Yes	Retrospective	public grant	none	Local	Python	blinded
23	[34]	2021	China	Yes	Yes	Retrospective	public grant	none	Local	Python SPSS	blinded
24	[35]	1996	USA	Yes	No	Retrospective	no information	no information	no information	SPSS BMDP	blinded
25	[36]	1995	USA	Yes	No	Prospective	no information	no information	no information	SPSS BMDP	blinded
26	[37]	2017	USA	No	No	Retrospective	none	none	local	R	blinded
27	[38]	2001	Canada	Yes	Yes	Prospective	public grant	none	Local	SAS	blinded
28	[39]	2016	USA	Yes	Yes	Retrospective	none	none	Local	R Stata	blinded
29	[40]	1997	Canada	Yes	No	Retrospective	public grant	none	no information	SPSS	blinded
30	[41]	2015	USA	Yes	No	Prospective	none	none	none	JustNN	pseudo code
31	[42]	2004	Canada	Yes	No	Retrospective	none	none	Local	SAS	blinded
32	[43]	2001	Japan	Yes	No	Prospective	none	none	none	StatView	blinded
33	[44]	2021	China	Yes	No	Retrospective	public grant	ChiCTR	Local	Python	blinded
34	[45]	2013	Israel	Yes	No	Retrospective	none	none	Local	SAS	blinded
35	[46]	2017	Italy	Yes	No	Retrospective	none	none	none	Stata	blinded
36	[47]	2021	Egypt	Yes	No	Retrospective	none	none	National	Python	blinded
37	[48]	2014	Brazil	Yes	No	Retrospective	none	none	none	non described	blinded
38	[49]	2018	USA	Yes	Yes	Retrospective	none	none	none	R SAS Julia	blinded
39	[50]	2020	South Korea	Yes	No	Retrospective	none	none	Local	Python	open (git hub etc.)
40	[51]	2003	USA	Yes	No	Retrospective	none	none	Local	Stata	open (git hub etc.)

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ISSN: 1472-6947

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