Evidence map›Paper›PMID 25927829›Full record

SynthesisCritical care (London, England)2015

Effect of initial calorie intake via enteral nutrition in critical illness: a meta-analysis of randomised controlled trials.

Feng Tian, Xinying Wang, Xuejin Gao, Xiao Wan, Chao Wu, Li Zhang, Ning Li, Jieshou Li

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Critical care (London, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
7.1field-weighted citation impact, top 3% of its field
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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 71 citations in OpenAlex.

  1. Pooled it
  2. [S3 Guideline Sepsis-prevention, diagnosis, therapy, and aftercare : Long version].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2020
    Guideline
  3. Prescribed hypocaloric nutrition support for critically-ill adults.The Cochrane database of systematic reviews · 2018
    Pooled it
  4. Observational
  5. Article
  6. Review
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Observational
  12. Article
  13. Article
  14. Observational
  15. Review
  16. Article
  17. Article
  18. Effect of Calories Delivered on Clinical Outcomes in Critically Ill Patients: Systemic Review and Meta-analysis.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2017
    Article
  19. Article
  20. Article
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

8 authors at 1 institution in 1 country.

Feng TianResearch Institute of General Surgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China. tianfeng_nju@163.com.
Xinying WangResearch Institute of General Surgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China. wxinying@263.net.
Xuejin GaoDepartment of General Surgery, Jinling Hospital, South Medical University, Guangdong, China. 547625433@qq.com.
Xiao WanResearch Institute of General Surgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China. 395412495@qq.com.
Chao WuResearch Institute of General Surgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China. 814731078@qq.com.
Li ZhangResearch Institute of General Surgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China. zhangli_njzy@163.com.
Ning LiResearch Institute of General Surgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China. nanjinglining@163.com.
Jieshou LiResearch Institute of General Surgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China. nanjinglijieshou@163.com.
Nanjing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGuidelines support the use of enteral nutrition to improve clinical outcomes in critical illness; however, the optimal calorie and protein intake remains unclear. The purpose of this meta-analysis was to quantitatively analyze randomised controlled trials with regard to clinical outcomes related to varying calorie and protein administration in critically ill adult patients.

methodWe searched Medline, EMBASE, and Cochrane databases to identify randomised controlled trials that compared the effects of initially different calorie and protein intake in critical illness. The risk ratio (RR) and weighted mean difference with 95% confidence intervals (CI) were calculated using random-effects models. The primary endpoint was mortality; secondary endpoints included infection, pneumonia, gastrointestinal intolerance, hospital and intensive care unit lengths of stay, and mechanical ventilation days.

resultsIn the eight randomised controlled trials that enrolled 1,895 patients there was no statistical difference between the low-energy and high-energy groups in mortality (RR, 0.90; 95% CI, 0.71 to 1.15; P = 0.40), infection (RR, 1.09; 95% CI, 0.92 to 1.29; P = 0.32), or the risk of gastrointestinal intolerance (RR, 0.84; 95% CI, 0.59 to 1.19; P = 0.33). In subgroup analysis, the low-energy subgroup, fed 33.3 to 66.6% of goal energy, showed a lower mortality than the high-energy group (RR, 0.68; 95% CI, 0.51 to 0.92; P = 0.01). The improvements in mortality and gastrointestinal intolerance were absent when calorie intake was >66.6% of goal energy in the low-energy group. High-energy intake combined with high-protein intake reduced the infections (RR, 1.25; 95% CI, 1.04 to 1.52; P = 0.02); however, when the daily protein intake was similar in both groups, a high-energy intake did not decrease the infections. No statistical differences were observed in other secondary outcomes.

conclusionThis meta-analysis indicates that high-energy intake does not improve outcomes and may increase complications in critically ill patients who are not malnourished. Initial moderate nutrient intake (33.3 to 66.6% of goal energy), compared to high energy, may reduce mortality, and a higher protein intake combined with high energy (≥ 0.85 g/kg per day) may decrease the infection rate. However, the contribution of energy versus protein intake to outcomes remains unknown.

Indexed as

Randomized Controlled Trials as TopicCritical IllnessEnergy IntakeEnteral NutritionHumansTreatment Outcome

Identifiers

PMID25927829
PMCPMC4434568
OpenAlexW1981519186

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.