Evidence map›Paper›PMID 27093998›Full record

ArticleZhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi2016

[Outcomes of very severe aplastic anemia patients with different absolute neutrophil counts after frontline immnunosuppressive therapy].

Yang Li, Zhijie Wu, Xin Zhao, Li Zhang, Liping Jing, Kang Zhou, Guangxin Peng, Lei Ye, Yuan Li, Jianping Li and 5 more

Open access · greenAbstract read
In one paragraph

Article in Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 95% 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

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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

2 citing papers in PubMed, 3 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

15 authors at 1 institution in 1 country.

Yang LiInstitute of Hematology and Blood Diseases Hospital, CAMS & PUMC, Tianjin 300020, China.
Zhijie Wu
Xin Zhao
Li Zhang
Liping Jing
Kang Zhou
Guangxin Peng
Lei Ye
Yuan Li
Jianping Li
Huihui Fan
Lin Song
Wenrui Yang
Bo Jiang
Fengkui Zhang
Institute of Hematology & Blood Diseases Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze early hematopoietic response and long-term survival of very severe aplastic anemia (VSAA) patients with different absolute neutrophil counts (ANC) after frontline immnunosuppressive therapy (IST).

methodsClinical data and outcome of 145 VSAA patients treated with rabbit antithymocyte globulin combined with cyclosporine were retrospectively analyzed. Hematopoietic responses to IST and long-term survival were statistically analyzed for VSAA patients in different ANC subgroups.

resultsPre-IST ANC=0.05×10(9)/L acted as the best cutoff level to predict IST response at 3, 6 months. For 145 VSAA patients, early death rate was 13.4% (11/82) vs 1.6% (1/63), respectively, in the ANC≤0.05×10(9)/L group and ANC>0.05×10(9)/L group (P<0.05). Hematopoietic response rates to IST was 22.0% vs 54.0% (P=0.000) at 3 months, 34.1% vs 63.5% (P=0.000) at 6 months; the overall five-year survival rate was only (62.5±5.4) % vs (91.4±3.7) % (P=0.000) and five-year event-free survival rate was (42.3±5.5) % vs (63.1±6.5) % (P=0.003), respectively, in the ANC≤0.05×10(9)/L group and ANC>0.05×10(9)/L group.

conclusionVSAA patients with extremely low ANC (≤0.05×10(9)/L) had high early death rate and with very low response rate to frontline IST and poor survival, so it is urgent to seek for the alternative frontline therapy that will bring faster and better outcome for these patients.

Indexed as

Anemia, AplasticAnimalsAntilymphocyte SerumCyclosporineDisease-Free SurvivalHumansImmunosuppressive AgentsLeukocyte CountNeutrophilsRabbitsRetrospective StudiesSurvival RateTreatment OutcomeAntilymphocyte SerumCyclosporineImmunosuppressive Agents

Identifiers

PMID27093998
PMCPMC7343096
OpenAlexW2416479821

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LicenceCC BY-NC-SA
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Registered trials

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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.