| 000 | 01497 a2200445 4500 | ||
|---|---|---|---|
| 005 | 20250517212548.0 | ||
| 264 | 0 | _c20190806 | |
| 008 | 201908s 0 0 eng d | ||
| 022 | _a2152-2669 | ||
| 024 | 7 |
_a10.1016/j.clml.2018.03.013 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aPramanik, Raja | |
| 245 | 0 | 0 |
_aMyeloid Sarcoma Predicts Superior Outcome in Pediatric AML; Can Cytogenetics Solve the Puzzle? _h[electronic resource] |
| 260 |
_bClinical lymphoma, myeloma & leukemia _c06 2018 |
||
| 300 |
_ae249-e254 p. _bdigital |
||
| 500 | _aPublication Type: Comparative Study; Journal Article; Observational Study | ||
| 650 | 0 | 4 | _aAdolescent |
| 650 | 0 | 4 | _aChild |
| 650 | 0 | 4 | _aChild, Preschool |
| 650 | 0 | 4 |
_aChromosome Aberrations _xstatistics & numerical data |
| 650 | 0 | 4 | _aDisease-Free Survival |
| 650 | 0 | 4 | _aFemale |
| 650 | 0 | 4 | _aHumans |
| 650 | 0 | 4 | _aIncidence |
| 650 | 0 | 4 | _aInfant |
| 650 | 0 | 4 |
_aLeukemia, Myeloid, Acute _xgenetics |
| 650 | 0 | 4 | _aMale |
| 650 | 0 | 4 | _aOdds Ratio |
| 650 | 0 | 4 | _aPrognosis |
| 650 | 0 | 4 | _aRetrospective Studies |
| 650 | 0 | 4 |
_aSarcoma, Myeloid _xepidemiology |
| 650 | 0 | 4 | _aSurvival Analysis |
| 700 | 1 | _aTyagi, Anudishi | |
| 700 | 1 | _aChopra, Anita | |
| 700 | 1 | _aKumar, Akash | |
| 700 | 1 | _aVishnubhatla, Sreenivas | |
| 700 | 1 | _aBakhshi, Sameer | |
| 773 | 0 |
_tClinical lymphoma, myeloma & leukemia _gvol. 18 _gno. 6 _gp. e249-e254 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1016/j.clml.2018.03.013 _zAvailable from publisher's website |
| 999 |
_c28311906 _d28311906 |
||