Evidence map›Paper›PMID 22101502›Full record

ArticleJournal of clinical monitoring and computing2011

Partitioning standard base excess: a new approach.

Thomas John Morgan

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of clinical monitoring and computing, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Trial
  2. A head to head evaluation of 8 biochemical scanning tools for unmeasured ions.Journal of clinical monitoring and computing · 2017
    Trial
  3. Article
  4. Article
  5. Metabolic Acidosis in Critically Ill Cirrhotic Patients with Acute Kidney Injury.Journal of clinical and translational hepatology · 2019
    Article
  6. 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

1 author at 1 institution in 1 country.

Thomas John MorganAdult Intensive Care Unit, Mater Adult Hospital, Mater Health Services, Raymond Terrace, South Brisbane, QLD, 4101, Australia. john.morgan@mater.org.au
Mater Adult Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

'Standard' or 'extracellular' base excess (SBE) is a modified calculation using one-third the normal hemoglobin concentration. It is a 'CO(2)-invariant' expression of meta- bolic acid-base status integrated across interstitial, plasma and erythrocytic compartments (IPE). SBE also integrates conflicting physical chemical influences on metabolic acid-base status. Until recently attempts to quantify individual contributions to SBE, for example the plasma strong ion gap, failed to span the 'CO(2-)stable' IPE dimension. The first breakthrough was from Anstey, who determined the con- centration of unmeasured charged species referenced to the IPE domain using Wooten's physical chemical version of the Van Slyke equation. In this issue Drs Wolf and DeLand present a diagnostic tool based on an IPE model which dissects a version of SBE (BEnet) into nine independent (BEind) components, all referenced to the IPE domain. The reported components are excess/deficits of free water, chlo- ride, albumin, unmeasured ions, sodium, potassium, lactate, 'Ca-Mg' (a composite divalent cation entity), and phosphate. The model also reports individualised volumes of plasma, erythrocytes and interstitial fluid. The tool is an original contribution, but there are concerns. The impact of assum- ing fixed relationships between arterial and venous acid-base and saturation values in sepsis, anaemia and in differing shock states is unclear. Clinicians are also unlikely to accept that unique, accurate IPE volume determinations can be derived from a single set of blood gas and biochemistry results. Nevertheless, volume determinations aside, the tool is likely to become a valuable addition to the diagnostic armamentarium.

Indexed as

Acid-Base EquilibriumAlgorithmsAcid-Base ImbalanceBlood Chemical AnalysisBlood Gas AnalysisDiagnosis, Computer-AssistedReproducibility of ResultsSensitivity and Specificity

Identifiers

PMID22101502
OpenAlexW2008111468

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.