Evidence map›Paper›PMID 37250513›Full record

ArticleIndian journal of anaesthesia2023

Evaluation of respiratory exchange ratio (RER) for predicting postoperative outcomes in elderly patients undergoing oncological resection for gastrointestinal malignancies - A prospective cohort study.

Shibani Padhy, Indira Gurajala, Padmaja Durga, Akhya Kumar Kar, Manjeera Doppalapudi, P Pranay

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Article in Indian journal of anaesthesia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 3 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

6 authors at 1 institution in 1 country.

Shibani PadhyDepartment of Anaesthesiology and Critical Care, Nizam's Institute of Medical Sciences, Hyderabad, Telangana, India.
Indira GurajalaDepartment of Anaesthesiology and Intensive Care, Nizam's Institute of Medical Sciences, Hyderabad, Telangana, India.
Padmaja DurgaDepartment of Anaesthesiology and Critical Care, Nizam's Institute of Medical Sciences, Hyderabad, Telangana, India.
Akhya Kumar KarDepartment of Anaesthesiology and Critical Care, Nizam's Institute of Medical Sciences, Hyderabad, Telangana, India.
Manjeera DoppalapudiDepartment of Anaesthesiology and Critical Care, Nizam's Institute of Medical Sciences, Hyderabad, Telangana, India.
P PranayDepartment of Anaesthesiology and Critical Care, Nizam's Institute of Medical Sciences, Hyderabad, Telangana, India.
Nizam's Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Predicting complications after major oncosurgery is particularly daunting in the elderly subcategory of patients owing to factors like preexisting age-related immune cellular senescence and a significant imbalance of oxygen delivery (DO Materials and Methods: In the study, we enrolled 96 patients aged 65 years and above undergoing definitive surgery for gastrointestinal malignancy. The RER was calculated at predefined time points by a non-volumetric method from the respiratory parameters as RER = (end-tidal fractional carbon dioxide [FetCO Results: The patients who sustained major complications had a higher RER than the patients who did not sustain complications (1.47 ± 0.99 vs. 0.90 ± 0.31, Conclusion: The RER can serve as a noninvasive, real-time and sensitive indicator of tissue hypoperfusion and postoperative complications in geriatric gastrointestinal oncosurgery.

Indexed as

Gastrointestinal malignancygeriatricsperfusionpostoperative complications

Identifiers

PMID37250513
PMCPMC10220155
OpenAlexW4327521832

What OpenQuestion holds

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LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

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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.