Fig 6 - by Torsten Schober (20485754)

Smoking Behaviors of the participants categorized by the respective year. by Jae Yeon Jeong (11979030)

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Drinking Behaviors of the male participants categorized by the respective year. by Jae Yeon Jeong (11979030)

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Predictions of Age-Standardized Rate of burden caused by fire, heat and hot substances for different sexes in 2030 based on the Bayesian Age-Period-Cohort model. by Shi Huang (125861)

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Frontier Analysis: Countries with high potential for improvement in the burden of injuries caused by fire, heat, and hot substances in 2021. by Shi Huang (125861)

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Drinking Behaviors of the participants categorized by the respective year. by Jae Yeon Jeong (11979030)

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Sleep and Mental health of the participants categorized by the respective year. by Jae Yeon Jeong (11979030)

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The burden forecast of injuries caused by fire, heat, and hot substances for 2021–2030. by Shi Huang (125861)

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General characteristics of the participants categorized by the respective year. by Jae Yeon Jeong (11979030)

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The burden of injuries caused by fire, heat and hot substances in female and male across 22 GBD regions. by Shi Huang (125861)

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Burden of injuries caused by fire, heat, and substances in Disability-Adjusted Life Years, Years of Life Lost and Years Lived with Disability between 1990 and 2021. by Shi Huang (125861)

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Age-Standardized Rate of injuries caused by fire, heat and hot substances in 22 GBD regions with varying Social-Demographic Index globally from 1990 to 2021. by Shi Huang (125861)

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Frontier analysis of injuries’ burden caused by fire, heat, and hot substances from 1990 to 2021. by Shi Huang (125861)

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Difference in drinking, smoking, and suicidal ideation by year. by Jae Yeon Jeong (11979030)

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Graph of successive trends in the burden of injury caused by fire, heat and hot substances between 1990 and 2021. by Shi Huang (125861)

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Drinking Behaviors of the female participants categorized by the respective year. by Jae Yeon Jeong (11979030)

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Burden of injuries caused by fire, heat, and substances in Incidence, Prevalence and Death between 1990 and 2021. by Shi Huang (125861)

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CONSORT diagram. by Bon-Wook Koo (13773694)

“…</p><p>Results</p><p>The amount of crystalloid used during surgery was less in the GDFT group than in the conventional group (5.1 ± 1.1 vs 6.3 ± 1.8 ml/kg/h, respectively; P <0.001), whereas the amount of colloid was comparable between the two groups. The overall proportion of patients who experienced any adverse events was 57.8% in the GDFT group and 70.1% in the conventional group (P = 0.038), of which the occurrence of pleural effusion was significantly lower in the GDFT group than in the conventional group (9.5% vs. 19.7%; P = 0.024). …”

Raw data. by Bon-Wook Koo (13773694)

“…</p><p>Results</p><p>The amount of crystalloid used during surgery was less in the GDFT group than in the conventional group (5.1 ± 1.1 vs 6.3 ± 1.8 ml/kg/h, respectively; P <0.001), whereas the amount of colloid was comparable between the two groups. The overall proportion of patients who experienced any adverse events was 57.8% in the GDFT group and 70.1% in the conventional group (P = 0.038), of which the occurrence of pleural effusion was significantly lower in the GDFT group than in the conventional group (9.5% vs. 19.7%; P = 0.024). …”

Postoperative outcomes. by Bon-Wook Koo (13773694)

“…</p><p>Results</p><p>The amount of crystalloid used during surgery was less in the GDFT group than in the conventional group (5.1 ± 1.1 vs 6.3 ± 1.8 ml/kg/h, respectively; P <0.001), whereas the amount of colloid was comparable between the two groups. The overall proportion of patients who experienced any adverse events was 57.8% in the GDFT group and 70.1% in the conventional group (P = 0.038), of which the occurrence of pleural effusion was significantly lower in the GDFT group than in the conventional group (9.5% vs. 19.7%; P = 0.024). …”