Evidence map›Paper›PMID 12112391›Full record

ArticleJournal of clinical laboratory analysis2002

Superiority of a functional leukocyte adhesiveness/aggregation test over the white blood cell count to discriminate between mild and significant inflammatory response in patients with acute bacterial infections.

Ori Rogowski, Rivka Rotstein, David Zeltzer, Sarit Misgav, Daniel Justo, Daniel Avitzour, Tamar Mardi, Jacob Serov, Nadir Arber, Shlomo Berliner and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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

11 authors at 1 institution in 1 country.

Ori RogowskiDepartment of Internal Medicine "D", Tel Aviv Sourasky Medical Center/Sackler Faculty of Medicine, Tel Aviv, Israel.
Rivka Rotstein
David Zeltzer
Sarit Misgav
Daniel Justo
Daniel Avitzour
Tamar Mardi
Jacob Serov
Nadir Arber
Shlomo Berliner
Itzhak Shapira
Tel Aviv Sourasky Medical Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electronic cell counters may underestimate the white blood cell count (WBCC) in the presence of aggregated leukocytes. In the present study we focused on the possibility of using a functional, as opposed to an anatomic, count to circumvent this eventual underestimation. A model of bacterial infection was used because of the importance of leukocytosis in the physician's clinical decision-making process. There were 35 patients with low C-reactive protein (CRP) concentrations (0.5-4.9 mg/dL), 45 with intermediate (5-9.9 mg/dL), and 120 with relatively high (>10 mg/dL) CRP concentrations. A significant (P=0.008) difference was noted between the state of leukocyte adhesiveness/aggregation in the peripheral blood of individuals with low CRP concentrations (3.5%+/-4.3%) and those with high CRP concentrations (7.4%+/-8%), while there was no significant difference in the respective number of WBCs per cubic millimeter (cmm) (11,600 +/- 5,500 and 14,000 +/- 7,200, respectively). We raise the possibility that a functional test might be superior over an anatomic count in patients with acute bacterial infection and a significant acute phase response.

Indexed as

AdhesivenessAgedBacterial InfectionsCase-Control StudiesCell AggregationC-Reactive ProteinFemaleFlow CytometryHumansInflammationLeukocytesMaleMiddle AgedC-Reactive Protein

Identifiers

PMID12112391
PMCPMC6807883
OpenAlexW1999334636

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.