Evidence map›Paper›PMID 32640749›Full record

ArticleNutrients2020

Comparison of Feeding Efficiency and Hospital Mortality between Small Bowel and Nasogastric Tube Feeding in Critically Ill Patients at High Nutritional Risk.

Wei-Ning Wang, Chen-Yu Wang, Chiann-Yi Hsu, Pin-Kuei Fu

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 37% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. mNUTRIC Score in ICU Mortality Prediction: An Emerging Frontier or Yet Another Transient Trend?Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
    Article
  6. Article
  7. Article
  8. 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

4 authors at 2 institutions in 1 country.

Wei-Ning WangDepartment of Food and Nutrition, Taichung Veterans General Hospital, Taichung 40705, Taiwan.ORCID 0000-0002-3527-3135
Chen-Yu WangDepartment of Critical Care Medicine, Taichung Veterans General Hospital, Taichung 40705, Taiwan.ORCID 0000-0002-6716-0565
Chiann-Yi HsuBiostatistics Task Force of Taichung Veterans General Hospital, Taichung 40705, Taiwan.
Pin-Kuei FuDepartment of Critical Care Medicine, Taichung Veterans General Hospital, Taichung 40705, Taiwan.ORCID 0000-0002-9416-4094
Taichung Veterans General Hospital · TWTunghai University · TW

Funding

Taichung Veterans General Hospital TCVGH-1094404C
6 · The paper itself

Abstract

Nasogastric tube enteral nutrition (NGEN) should be initiated within 48 h for patients at high nutritional risk. However, whether small bowel enteral nutrition (SBEN) should be routinely used instead of NGEN to improve hospital mortality remains unclear. We retrospectively analyzed 113 critically ill patients with modified Nutrition Risk in Critically Ill (mNUTRIC) score ≥ 5 and feeding volume < 750 mL/day in the first week of their stay in the intensive care unit (ICU). Age, sex, mNUTRIC score, and Acute Physiology and Chronic Health Evaluation II (APACHE II) score were matched in the SBEN (

Indexed as

Critical IllnessIntubation, GastrointestinalAgedAged, 80 and overFemaleHumansMaleMiddle AgedNutritional StatusRetrospective StudiesRisk Factorscritically ill patientsfeeding efficiencyhigh nutritional riskhospital mortalitysmall bowel enteral nutrition

Identifiers

PMID32640749
PMCPMC7400848
OpenAlexW3040056486

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.