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Table 1 Characteristics of studies included in the systematic review and meta-analysis

From: Analysis of variable metabolites in preterm infants with bronchopulmonary dysplasia: a systematic review and meta-analysis

Author (Year)

country

sample

Sample size

(BPD/NO BPD)

GA(Weeks)

Metabolomics

technique

NOS

López-Hernández(2024)

Mexico

Urinary

12/13

< 34

LC-MS/MS

6

Course(2023)

United Kingdom

exhaled breath condensate

34/110

≤ 34

GCTOF-MS

6

Wang(2022)

China

dried blood spots

45/40

< 33

MS/MS

7

Frazer(2022)

United States

Stool

45/27

< 28

LC-MS/MS

7

Ye(2022)

United States

dried blood spots

355/395

< 32

LC-MS/MS

6

Xu(2022)

China

tracheal aspirate

23/5

≤ 34

UPLC-TQ-MS

6

Piersigilli(2019)

United States

tracheal aspirate

44/24

< 30

LC-MS/MS

7

Li(2019)

China

dried blood spots

20/22

< 32

LC-MS/MS

6

Huang(2019)

China

Urinary

20/20

< 32

GC-MS

6

Hendricks-Muñoz(2018)

United States

tracheal aspirate

16/9

< 32

LC-MS/MS

6

La Frano(2018)

United States

Umbilical cord blood

10/10

< 32

GC-MS

6

Pintus(2018)

Italy

Urinary

7/11

< 28

1 H-NMR

5

Baraldi(2016)

Italy

Amniotic Fluid

10/11

21–28 of pregnancy

UPLC-TQ-MS

7

Fanos(2014)

Italy

Urinary

18/18

< 29

NMR

6

Rüdiger(2000)

Germany

tracheal aspirate

10/15

≤ 32

GC

7

  1. Note: BPD, bronchopulmonary dysplasia; GA, gestational age; NOS, Newcastle–Ottawa Scale; GCTOF-MS, Gas Chromatography Time-of-Flight Mass Spectrometry; MS/MS, tandem mass spectrometry; LC-MS/MS, Liquid Chromatography Tandem Mass Spectrometry; GC-MS, Gas Chromatography–Flight Mass Spectrometry; 1 H-NMR, Hydro-Nuclear Magnetic Resonance Spectrometer; UPLC-TQ-MS, Ultra Performance Liquid Chromatography–Time of Flight–Mass Spectrometry; NMR, Nuclear Magnetic Resonance spectroscopy; GC, Gas Chromatography