Evidence map›Paper›PMID 16000478›Full record

ArticleJournal of clinical microbiology2005

Improved sensitivity of sputum smear microscopy after processing specimens with C18-carboxypropylbetaine to detect acid-fast bacilli: a study of United States-bound immigrants from Vietnam.

K F Laserson, N T N Yen, C G Thornton, V T C Mai, W Jones, D Q An, N H Phuoc, N A Trinh, D T C Nhung, T X Lien and 5 more

Abstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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. Review
  2. Article
  3. Article
  4. Article
  5. Classification of Mycobacterium tuberculosis in images of ZN-stained sputum smears.IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society · 2010
    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

15 authors.

K F LasersonDivision of Tuberculosis Elimination, Centers for Disease Control and Prevention, 1600 Clifton Road, MS E-10 Atlanta, GA 30333, USA. klaserson@cdc.gov
N T N Yen
C G Thornton
V T C Mai
W Jones
D Q An
N H Phuoc
N A Trinh
D T C Nhung
T X Lien
N T N Lan
C Wells
N Binkin
M Cetron
S A Maloney

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of this study was to evaluate the effect of the specimen-processing method that uses the detergent C18-carboxypropylbetaine (CB-18) on the sensitivity of acid-fast bacillus (AFB) staining. Vietnamese immigrants with abnormal chest radiographs provided up to three sputum specimens, which were examined for acid-fast bacilli by use of direct auramine and Ziehl-Neelsen staining. The remaining sputum was split; half was cultured, and the other half was incubated with CB-18 for 24 h, centrifuged, and examined for AFB by both staining methods. CB-18 processing improved the sensitivity of AFB staining by 20 to 30% (only differences in auramine sensitivity were statistically significant) but reduced specificity by approximately 20% (P < 0.05). These findings have direct utility for overseas migrant tuberculosis screening programs, for which maximizing test sensitivity is a major objective.

Indexed as

Emigration and ImmigrationAdultBenzophenoneidumBetaineHumansMicroscopyMycobacterium tuberculosisSensitivity and SpecificitySpecimen HandlingSputumStaining and LabelingTuberculosis, PulmonaryUnited StatesVietnamBenzophenoneidumBetaineC(18)-carboxypropylbetaine

Identifiers

PMID16000478
PMCPMC1169166

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.