Evidence map›Paper›PMID 24608263›Full record

Trial reportMedical science monitor : international medical journal of experimental and clinical research2014

The pleth variability index as an indicator of the central extracellular fluid volume in mechanically ventilated patients after anesthesia induction: comparison with initial distribution volume of glucose.

Wenqing Lu, Jing Dong, Zifeng Xu, Hao Shen, Jijian Zheng

Abstract readClinical TrialComparative Study
In one paragraph

Trial report in Medical science monitor : international medical journal of experimental and clinical research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Pulse Oximetry-A Perioperative Perspective.Diagnostics (Basel, Switzerland) · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. 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

5 authors.

Wenqing LuDepartment of Anesthesiology, Shanghai First People's Hospital, Shanghai Jiaotong University, Shanghai, China (mainland).
Jing DongDepartment of Anesthesiology, Shanghai First People's Hospital, Shanghai Jiaotong University, Shanghai, China (mainland).
Zifeng XuDepartment of Anesthesiology, Shanghai First People's Hospital, Shanghai Jiaotong University, Shanghai, China (mainland).
Hao ShenDepartment of Anesthesiology, Shanghai First People's Hospital, Shanghai Jiaotong University, Shanghai, China (mainland).
Jijian ZhengDepartment of Anesthesiology, Shanghai First People's Hospital, Shanghai Jiaotong University, Shanghai, China (mainland).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe pleth variability index (PVI) has been demonstrated to be a useful, noninvasive indicator of continuous fluid responsiveness. Whether PVI can be used to assess the changes of intravascular volume status remains to be elucidated. MATERIAL AND

methodsUsing correlation analysis and receiver operating characteristic (ROC) curves, we sought a correlation between PVI and the initial distribution volume of glucose (IDVG), evaluating PVI as an indicator of the central extracellular fluid volume after anesthesia induction in patients undergoing elective abdominal surgery.

resultsStrong negative correlations existed between IDVG and PVI (r=-0.72), IDVG, and pulse pressure variation (PPV) (r=-0.73), and between IDVG and systolic pressure variation (SPV) (r=-0.53), P<0.01. Strong positive correlations existed between PPV and PVI (r=0.66), PVI and SPV (r=0.49), and between PPV and SPV (r=0.59), P<0.01. The areas under the ROC curve of IDVG, PVI, and SPV were significantly different from the area under a reference line. The optimal cutoff values (followed by sensitivity and specificity in parentheses) comparable to PPV over 11% as the threshold of hypovolemia were IDVG 94.5 mL/kg (75%, 100%), PVI 13% (91.7%, 77.8%), and SPV 7% (41.7%, 100%).

conclusionsOur results show that strong correlations exist among IDVG, PVI, PPV, and SPV in the evaluation of volemia. PVI can serve as a useful, noninvasive indicator of continuous central extracellular fluid volume for those patients not requiring invasive hemodynamic monitoring, but needs attention to changes in intravascular volume status for optimal fluid management.

Indexed as

Anesthesia, GeneralRespiration, ArtificialAdministration, IntravenousBlood GlucoseBlood PressureDemographyElective Surgical ProceduresExtracellular FluidFemaleHumansMaleMiddle AgedMonitoring, PhysiologicPlethysmographyPulseROC CurveBlood Glucose

Identifiers

PMID24608263
PMCPMC3958567

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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.