Evidence map›Paper›PMID 35526145›Full record

ArticleJPEN. Journal of parenteral and enteral nutrition2022

Energy expenditure in COVID-19 mechanically ventilated patients: A comparison of three methods of energy estimation.

Sanjith Saseedharan, Radha Reddy Chada, Vaijayanti Kadam, Annapurna Chiluka, Balakrishna Nagalla

Open access · greenAbstract read
In one paragraph

Article in JPEN. Journal of parenteral and enteral nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Sanjith SaseedharanDepartment of Intensive Care, S L Raheja Hospital-A Fortis Associate, Mumbai, Maharashtra, India.ORCID 0000-0003-4299-4317
Radha Reddy ChadaDepartment of Clinical Nutrition and Dietetics, AIG Hospitals, Hyderabad, Telangana, India.ORCID 0000-0002-6428-5389
Vaijayanti KadamDepartment of Intensive Care, S L Raheja Hospital-A Fortis Associate, Mumbai, Maharashtra, India.
Annapurna ChilukaDepartment of Intensive Care, S L Raheja Hospital-A Fortis Associate, Mumbai, Maharashtra, India.
Balakrishna NagallaDepartment of Statistics, Apollo Hospitals Educational And Research Foundation, Hyderabad, Telangana, India.
S.L. Raheja Hospital · INApollo Hospitals · INCARE Hospitals · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndirect calorimetry (IC) is the gold standard for measuring resting energy expenditure. Energy expenditure (EE) estimated by ventilator-derived carbon dioxide consumption (EEVCO

methodsRetrospective study of a cohort of critically ill adult patients with COVID-19 requiring mechanical ventilation and artificial nutrition to compare energy estimations by three methods through the calculation of bias and precision agreement, reliability, and accuracy rates.

resultsIn 58 mechanically ventilated patients, a total of 117 paired measurements were obtained. The mean estimated energy derived from weight-based calculations was 2576 ± 469 kcal/24 h, as compared with 1507 ± 499 kcal/24 h when EE was estimated by IC, resulting in a significant bias of 1069 kcal/day (95% CI [-2158 to 18.7 kcal]; P < 0.001). Similarly, estimated mean EEVCO

conclusionThe energy estimated with EEVCO

Indexed as

COVID-19Respiration, ArtificialAdultCalorimetry, IndirectCritical IllnessEnergy MetabolismHumansReproducibility of ResultsRetrospective StudiesCOVID-19EEVCO2energy expenditureindirect calorimetrypredictive equation

Identifiers

PMID35526145
PMCPMC9348140
OpenAlexW4229372641

What OpenQuestion holds

Textmetadata
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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.