Evidence map›Paper›PMID 29349536›Full record

ArticleLung2018

Oxygen Uptake Efficiency Slope and Prediction of Post-operative Morbidity and Mortality in Patients with Lung Cancer.

Sertaç Yakal, Sevtün Sofyalı, Berker Özkan, Safinaz Yıldız, Alper Toker, Erdem Kasikcioglu

Abstract read
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In one paragraph

Article in Lung, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Sertaç YakalDepartment of Sports Medicine, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Sevtün SofyalıDepartment of Sports Medicine, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Berker ÖzkanDepartment of Chest Surgery, Istanbul University, Istanbul, Turkey.
Safinaz YıldızDepartment of Sports Medicine, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Alper TokerDepartment of Chest Surgery, Istanbul University, Istanbul, Turkey.
Erdem KasikciogluDepartment of Sports Medicine, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey. ekasikcioglu@yahoo.com.ORCID 0000-0003-1855-7088

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePeak oxygen consumption is a very valuable cardiopulmonary functional parameter in pre-operative evaluation of patients with lung cancer. However, it has several critical limitations for operability decision due to failure in achieving maximal level of exercise test for cases. The aim of this study was to reveal the importance of more accurate cardiopulmonary parameters that can be calculated from data of submaximal level test, such as oxygen uptake efficiency slope (OUES) and to determine whether it could be used in the operability decision phase for borderline cases by means of morbidity and mortality. MATERIALS AND

methodsOne hundred and twenty-five patients who were scheduled to undergo lung surgery due to lung cancer were included in the study. Peak oxygen uptake (pVO

resultsThe peak VO

conclusionThis study demonstrated that OUES is significantly correlated with peak VO

Indexed as

Cardiorespiratory FitnessExercise TestOxygen ConsumptionAdultAgedAged, 80 and overClinical Decision-MakingDecision Support TechniquesExercise ToleranceFemaleHumansLungLung NeoplasmsMaleMiddle AgedOxygenOxygenExercise testingLung cancerMortalityOxygen slopeOxygen uptakeSurgery

Identifiers

What OpenQuestion holds

Textmetadata
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.