A Prospective Comparison of Three Strategies for Evaluating Blood Loss in Transurethral Resection of the Prostate.

Xiaojuan Yuan, Wei Yu, Ronghua Wu, Longkun Li, Fan He

Abstract readComparative Study

In one paragraph

Article in BioMed research international, 2021. 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

–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

1 citing paper in PubMed.

An Automatic Bleeding-Rank System for Transurethral Resection of the Prostate Surgery Videos Using Machine Learning.Diagnostics (Basel, Switzerland) · 2021
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.

Xiaojuan Yuan *The Department of Urology, Second Affiliated Hospital, Army Medical University, Chongqing 400037, China.

Wei Yu *The Department of Urology, Second Affiliated Hospital, Army Medical University, Chongqing 400037, China.

Ronghua WuThe Department of Urology, Second Affiliated Hospital, Army Medical University, Chongqing 400037, China.

Longkun LiThe Department of Urology, Second Affiliated Hospital, Army Medical University, Chongqing 400037, China.

Fan HeThe Department of Urology, Second Affiliated Hospital, Army Medical University, Chongqing 400037, China.ORCID https://orcid.org/0000-0003-1480-9102

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of the current investigation is to develop a new strategy for evaluating blood loss in the process of transurethral resection of the prostate (TURP).

methods318 patients diagnosed with benign prostatic hyperplasia (BPH) that need TURP were enrolled in this study. Hospitalization information including age, height, weight, surgery time, prostate volume, hemoglobin (Hb) concentration, hematocrit (HCT) percentage, and red blood cell count (RBC) was evaluated for each patient. All statistical analysis drawing were conducted using R software.

resultsThree methods were employed for calculating blood loss in TURP. Results from a new method display 0 missing value and got higher confidence (0 of 318, Poisson distribution,

conclusionMethods developed for calculating blood loss in TURP in the current study displayed more accurate and reasonable evaluation of bleeding, which can guide the transfusion blood for patients.

Indexed as

Blood Loss, SurgicalAgedAged, 80 and overBlood VolumeBody Mass IndexHumansMaleMiddle AgedOrgan SizeProspective StudiesProstateTransurethral Resection of Prostate

Identifiers

PMID33880379

DOI10.1155/2021/8875380

PMCPMC8046534

What OpenQuestion holds

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LicenceCC BY

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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.