Evidence map›Paper›PMID 30310786›Full record

ArticleBlood research2018

Syndecan-1 (sCD138) levels in chronic lymphocytic leukemia: clinical and hematological correlations.

Monica Sharma, Seema Tyagi, Preeti Tripathi, Tulika Seth

Open access · diamondAbstract read
In one paragraph

Article in Blood research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Monica SharmaDepartment of Hematology, Safdarjung Hospital, New Delhi, India.
Seema TyagiDepartment of Hematology, All India Institute of Medical Sciences, New Delhi, India.
Preeti TripathiDepartment of Hematology, All India Institute of Medical Sciences, New Delhi, India.
Tulika SethDepartment of Hematology, All India Institute of Medical Sciences, New Delhi, India.
All India Institute of Medical Sciences · INSafdarjang Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSyndecan-1 (sCD138) has recently been suggested to predict the clinical course of early-stage chronic lymphocytic leukemia (CLL), but few studies have been reported. This study assessed the role of syndecan-1 in the prognosis of patients with CLL and its correlation with other prognostic markers.

methodsThis prospective study was performed in the hematology department of an Indian tertiary care center, over nineteen months (Jun. 2009-Jan. 2011). Forty-nine new patients with CLL presented during this period and were included. Twenty age- and gender-matched healthy patients served as controls, and six patients with multiple myeloma were included as positive controls. Baseline serum syndecan-1 concentrations were measured for all patients at presentation using ELISA (Diaclone, Besancon, France). At baseline, patients were divided into low (N=10), intermediate (N=18) and high (N=21) risk cohorts. Serum syndecan-1 levels in these patient subgroups were compared with clinical and laboratory parameters.

resultsThe median syndecan-1 level in patients with CLL (73.32 ng/mL, range, 28.71-268.0 ng/mL) was marginally higher than that in healthy patients (63.10 ng/mL, range, 55.0-75.11 ng/mL). At presentation, syndecan-1 levels in patients with CLL correlated strongly with symptomatic disease (cytopenias,

conclusionIn CLL, serum syndecan-1 (sCD138) levels at presentation correlate with disease burden, and higher baseline levels may predict early treatment.

Indexed as

Chronic lymphocytic leukemiaPrognostic markersCD138Syndecan-1

Identifiers

PMID30310786
PMCPMC6170314
OpenAlexW2895581476

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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.